A superconducting magnet assembly is provided. The magnet assembly includes a magnet configured to generate a polarizing magnetic field, a thermosyphon tube, a main tank, and a metering tank. The thermosyphon tube is in thermal contact with the magnet, the thermosyphon tube configured to carry cryogen therethrough and cool the magnet via the cryogen. The metering tank contains the cryogen and is coupled with the main tank, and the main tank has an interior volume greater than an interior volume of the metering tank, The thermosyphon tube is coupled with the main tank at a first end of the thermosyphon tube and coupled with the metering tank at a second end of the thermosyphon tube, the second end opposite the first end, and the thermosyphon tube and the metering tank define a path along which the cryogen flows.
G01R 33/38 - Systems for generation, homogenisation or stabilisation of the main or gradient magnetic field
G01R 33/3815 - Systems for generation, homogenisation or stabilisation of the main or gradient magnetic field using electromagnets with superconducting coils, e.g. power supply therefor
H01F 6/06 - Coils, e.g. winding, insulating, terminating or casing arrangements therefor
2.
NON-INVASIVE BILIRUBIN DETECTION USING INDUCED PHOTOREACTION
Techniques are disclosed for measuring a concentration of an analyte in a subject based on reflectance spectra obtained from the subject. The spectra are obtained while and/or before and/or after photoreactions are induced in the subject, where the photoreactions change the reflectivity of the subject. The rate of change of the reflectivity is correlated with the concentration of the analyte.
According to one aspect of an exemplary embodiment of the disclosure, an imaging device or system, e.g., a mammography imaging system or device, includes a distance and location sensing system on the imaging system/e to provide accurate distance and position information from one or more sensing device(s) constituting the system that measure the elapsed time between the emission of the wave or radiation from the sensing device and the detection of the reflected wave or radiation. Examples of the types of sensing devices include ultrasound sensing devices, MEMS radar devices and time-of-flight (ToF) sensing devices. The distance information can be employed to determine the relative positions to produce a distance map illustrating the position and shape of any objects sensed within the zone by the sensing device(s), to determine the rate of change of the positions, i.e., the speed, of the objects relative to one another for use in controlling movement of various components of the imaging system, and to determine the shape of the object and changes in the shape of the object.
A superconducting magnet assembly is provided. The magnet assembly includes a magnet and a switch assembly coupled to the magnet. The switch assembly includes a thermosyphon tube configured to carry cryogen therethrough, a switch, a first pressure valve, and a second pressure valve. The switch is configured to switch between a resistive mode and a superconducting mode, wherein the switch is in thermal contact with the thermosyphon tube. The first pressure valve and the second pressure valve are positioned on the thermosyphon tube and configured to control flow of the cryogen in the thermosyphon tube, and the switch is positioned between the first pressure valve and the second pressure valve. The magnet is configured to generate a polarizing magnetic field based on switching of the switch between the resistive mode and the superconducting mode.
Methods and apparatus for computer-aided prostate condition diagnosis are disclosed. An example computer-aided prostate condition diagnosis apparatus includes memory to store instructions and a processor. The example processor can detect a lesion from an image of a prostate gland and generate a mapping of the lesion from the image to a sector map, the generating the mapping of the lesion comprising identifying a depth region of the lesion, wherein the depth region indicates a location of the lesion along a depth axis. The processor can also provide the sector map comprising a representation of the lesion within the prostate gland mapped from the image to the sector map.
A61B 5/00 - Measuring for diagnostic purposes ; Identification of persons
G06T 7/62 - Analysis of geometric attributes of area, perimeter, diameter or volume
G16H 30/40 - ICT specially adapted for the handling or processing of medical images for processing medical images, e.g. editing
G16H 50/20 - ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for computer-aided diagnosis, e.g. based on medical expert systems
7.
MAGNETIC RESONANCE SYSTEM AND POWER SUPPLY DEVICE FOR MAGNETIC RESONANCE SYSTEM
Embodiments of the present invention disclose a magnetic resonance system and a power supply device for the magnetic resonance system, the device including: a DC power source; a full-bridge circuit coupled to the DC power source and having a first bridge arm and a second bridge arm, the full-bridge circuit being used to output a periodic voltage signal through the first bridge arm and the second bridge arm; a resonant circuit, having a symmetrical circuit structure, two symmetric input terminals thereof being connected to the first bridge arm and the second bridge arm, respectively, so as to receive the periodic voltage signal; and a boost circuit, connected to two symmetric output terminals of the resonant circuit so as to receive the periodic voltage signal modulated by the resonant circuit, the boost circuit being used to provide a boosted voltage, and the boosted voltage having an amplitude greater than the amplitude of the periodic voltage signal.
G01R 33/36 - Electrical details, e.g. matching or coupling of the coil to the receiver
G01R 33/54 - Signal processing systems, e.g. using pulse sequences
H02M 3/00 - Conversion of dc power input into dc power output
H02M 3/335 - Conversion of dc power input into dc power output with intermediate conversion into ac by static converters using discharge tubes with control electrode or semiconductor devices with control electrode to produce the intermediate ac using devices of a triode or a transistor type requiring continuous application of a control signal using semiconductor devices only
8.
Artificial Intelligence-Based Dual Energy X-Ray Image Motion Correction Training Method and System
A dual energy x-ray imaging system and method of operation includes an artificial intelligence-based motion correction system to minimize the effects of motion artifacts in images produced by the imaging system. The motion correction system is trained to apply simulated motion to various objects of interest within the LE and HE projections in the training dataset to improve registration of the LE and HE projections. The motion correction system is also trained to enhance the correction of small motion artifacts using noise attenuation and subtraction image-based edge detection on the training dataset images reduce noise from the LE projection, consequently improving small motion artifact correction. The motion correction system additionally employs separate motion corrections for soft and bone tissue in forming subtraction soft tissue and bone tissue images, and includes a motion alarm to indicate when motion between LE and HE projections requires a retake of the projections.
A61B 6/00 - Apparatus for radiation diagnosis, e.g. combined with radiation therapy equipment
G01N 23/04 - Investigating or analysing materials by the use of wave or particle radiation, e.g. X-rays or neutrons, not covered by groups , or by transmitting the radiation through the material and forming images of the material
According to one aspect of an exemplary embodiment of the disclosure, a mammography imaging system or device includes a brassiere including one or more inflation chambers to assist in automatically positioning the breast. The brassiere includes cup in which the breast is positioned that includes a radiolucent cushion material along with the chambers and one or more inflatable chambers to compress/push the breast forward to position the breast within the cup as desired. In addition, the brassiere includes a vacuum system secured to the front part of the cup to pull the tip or nipple portion of the breast forward with vacuum-based suction technique. With the initial compression of the breast within the cup, the compression paddle of the imaging system can then be employed to apply any necessary additional force across the breast to achieve the required breast position and thickness for the selected image view, with the cushion material limiting any discomfort from the compression.
A power system and method for powering an imaging system. The power system and method include a power distribution unit (PDU) coupled to an imaging system gantry. An input of the PDU is electrically coupled to an alternating current (AC) power source from a utility power supply. An output of the PDU is electrically coupled to the imaging system gantry. The power system and method further include an energy storage system providing peak power to an X-ray generator of the imaging system during X-ray generation.
Systems/techniques that facilitate deep learning image analysis with increased modularity and reduced footprint are provided. In various embodiments, a system can access medical imaging data. In various aspects, the system can perform, via execution of a deep learning neural network, a plurality of inferencing tasks on the medical imaging data. In various instances, the deep learning neural network can comprise a common backbone in parallel with a plurality of task-specific backbones. In various cases, the plurality of task-specific backbones can respectively correspond to the plurality of inferencing tasks.
The present application provides a method, a non-transitory computer-readable storage medium, and apparatus for allocating image processing. The method for allocating image processing can include, on the basis of relevant information of a medical image, selecting, according to an allocation list, a learning network model corresponding to the information from a plurality of learning network models. The method can also include performing image processing on the medical image on the basis of the selected learning network model, the allocation list including a list of correspondences between relevant information of medical images and the plurality of learning network models.
One or more systems, devices, computer program products and/or computer-implemented methods of use provided herein relate to image enhancement using a generative adversarial network (GAN). The computer-implemented system can comprise a memory that can store computer-executable components. The computer-implemented system can further comprise a processor that can execute the computer-executable components stored in the memory, wherein the computer-executable components can comprise a training component that can train a discriminator of the GAN to score a texture of a CT image, wherein the texture can be derived from a difference of two conditionally independent estimates produced by a generator of the GAN by respectively processing two independent noisy samples of images.
The present disclosure provides an ultrasound imaging method, comprising acquiring an ultrasound echo signal of a subject to be scanned, and generating an ultrasound image on the basis of the ultrasonic echo signal; identifying a section of the subject to be scanned that corresponds to the ultrasound image; determining a first anatomical feature in the ultrasound image; and determining a second anatomical feature in the ultrasound image, the determination of the second anatomical feature being at least partially based on the positional relationship between the first anatomical feature and the second anatomical feature in the section. The present disclosure also provides an ultrasound imaging system and a non-transitory computer-readable medium.
The present disclosure relates to an image registration method and a model training method thereof. The image registration method comprises obtaining a reference image and a floating image to be registered, performing image preprocessing on the reference image and the floating image, performing non-rigid registration on the preprocessed reference image and floating image to obtain a registration result image, and outputting the registration result image. The image preprocessing comprises performing, on the reference image and the floating image, coarse-to-fine rigid registration based on iterative closest point registration and mutual information registration. The non-rigid registration uses a combination of a correlation coefficient and a mean squared error between the reference image and the registration result image as a loss function.
A method for generating an image of an object with a magnetic resonance imaging (MM) system is presented. The method includes first performing a calibration scan of the object. The calibration scan is performed with a zero echo time (ZTE) radial sampling scheme to obtain calibration k-spaces for surface coil elements and a body coil of the MRI system. The calibration scan is performed in such a manner that the endpoints of calibration k-space lines in each calibration k-space follow a spiral path. A plurality of calibration parameters are then obtained from the plurality of calibration k-spaces. A second scan of the object is then performed to acquire the MR image data. The image of the object is then generated based on the plurality of calibration parameters and the MR image data.
G01R 33/20 - Arrangements or instruments for measuring magnetic variables involving magnetic resonance
A61B 5/055 - Detecting, measuring or recording for diagnosis by means of electric currents or magnetic fields; Measuring using microwaves or radio waves involving electronic [EMR] or nuclear [NMR] magnetic resonance, e.g. magnetic resonance imaging
17.
METHOD FOR IDENTIFYING INTERVENTIONAL OBJECT, IMAGING SYSTEM, AND NON-TRANSITORY COMPUTER-READABLE MEDIUM
Provided in the present application is a method for identifying an interventional object, including acquiring volumetric data regarding a subject to be scanned, and generating a first volumetric image on the basis of the volumetric data, acquiring position information of the interventional object relative to the subject to be scanned, determining a second volumetric image on the basis of the position information, the second volumetric image having a range smaller than the first volumetric image, and identifying the interventional object in the second volumetric image. Further provided in the present application are an imaging system and a non-transitory computer-readable medium.
Computer processing techniques are described for augmenting computed tomography (CT) images with synthetic artifacts for artificial intelligence (AI) applications. According to an example, a computer-implemented method can include generating, by a system comprising a processor, synthetic artifact data corresponding to one or more CT image artifacts, wherein the synthetic artifact data comprises anatomy agnostic synthetic representations of the one or more CT image artifacts. The method further includes generating, by the system, augmented CT images comprising the one or more CT image artifacts using the synthetic artifact data. In one or more examples, the method can further include training, by the system, a medical image inferencing model to perform an inferencing task using the augmented CT images as training images.
In one example, an infant care station can include a camera for capturing video data and a processor configured to execute instructions that can obtain the video data from the camera for a patient. The processor can also generate a point cloud based on the video data and train, using the point cloud as input, a first set of artificial intelligence instructions to detect one or more patient characteristics. Additionally, the processor can generate an output representing the one or more patient characteristics based on the first set of artificial intelligence instructions.
A61B 5/00 - Measuring for diagnostic purposes ; Identification of persons
A61B 5/0245 - Measuring pulse rate or heart rate using sensing means generating electric signals
A61B 5/11 - Measuring movement of the entire body or parts thereof, e.g. head or hand tremor or mobility of a limb
A61M 21/02 - Other devices or methods to cause a change in the state of consciousness; Devices for producing or ending sleep by mechanical, optical, or acoustical means, e.g. for hypnosis for inducing sleep or relaxation, e.g. by direct nerve stimulation, hypnosis, analgesia
G06T 7/73 - Determining position or orientation of objects or cameras using feature-based methods
G06T 17/20 - Wire-frame description, e.g. polygonalisation or tessellation
G06V 10/82 - Arrangements for image or video recognition or understanding using pattern recognition or machine learning using neural networks
G06V 40/16 - Human faces, e.g. facial parts, sketches or expressions
20.
METHOD AND SYSTEM FOR FLOW PROCESSING ON CHANNEL DATA FOR APPLICATION OF NONLINEAR BEAMFORMING
Systems and methods for enhancing spatial specificity and increasing effective image acquisition speed by performing flow processing on channel data for application of nonlinear beamforming are provided. The method includes generating clutter filtered signals, delaying the clutter filtered signals to provide delay aligned clutter filtered signals, calculating coherency of the delay aligned clutter filtered signals, and nonlinearly combining the delay aligned clutter filtered signals and the coherency of the delay aligned clutter filtered signals across each transducer element at one or more depths to generate at least one beamformed signal for each received set of echo signals in a sequence of echo signals at the one or more depths. The method includes calculating and presenting a measurement for the one or more depths based on the at least one beamformed signal for each received set of echo signals in the sequence of echo signals at the one or more depths.
G01S 7/52 - RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES - Details of systems according to groups , , of systems according to group
21.
SYSTEM AND METHOD FOR CREATING A VACUUM IN AN X-RAY TUBE
X-ray tube systems and methods are described herein. A system for creating a vacuum environment in an X-ray tube assembly includes a vacuum tube having a first end and a second end, the first end of the vacuum tube welded to a support plate of the X-ray tube assembly, and the second end of the vacuum tube is pinched off or cold pressed to seal the vacuum environment within the X-ray tube insert of the X-ray tube assembly. A method of creating a vacuum within an X-ray tube assembly includes welding a first end of a vacuum tube to a support plate of the X-ray tube assembly, coupling a second end of the vacuum tube to a vacuum pump, using a vacuum pump to create a vacuum environment in the X-ray tube assembly and pinching off the second end of vacuum tube to seal the vacuum environment.
In some examples, a system for processing images can include a processor configured to obtain an infrared camera image and extract one or more movement indicators from the infrared camera image. The processor can also use wavelet decomposition to determine at least two data streams from the one or movement indicators and process the at least two data streams from the wavelet decomposition to determine any number of peaks that indicate a heart rate, respiratory rate, or a motion of a patient. The processor can also provide the processed output to a user interface.
A system for detecting an oxygen saturation level of a patient includes a processor configured to create a first red plethysmograph waveform from a red image and create a second infrared (IR) plethysmograph waveform from an infrared (IR) image. The processor can also process the first red plethysmograph waveform using wavelet decomposition to obtain a first pulse plethysmograph waveform and process the second IR plethysmograph waveform using wavelet decomposition to obtain a second pulse plethysmograph waveform. Additionally, the processor can calculate an oxygen absorption value using the first pulse plethysmograph waveform and the second pulse plethysmograph waveform and determine the oxygen saturation value for the patient using a reference calibration curve and the oxygen absorption value.
A61B 5/1455 - Measuring characteristics of blood in vivo, e.g. gas concentration, pH-value using optical sensors, e.g. spectral photometrical oximeters
A61B 5/00 - Measuring for diagnostic purposes ; Identification of persons
Embodiments of the present application provide a medical image processing method and apparatus and a medical device, the medical image processing apparatus including an acquisition unit, configured to acquire raw local projection data obtained by a detector after an object to be examined is scanned, a processing unit, configured to recover the raw local projection data to estimate first global data, a determination unit, configured to determine second global data according to the raw local projection data and the first global data, and a reconstruction unit, configured to reconstruct the second global data to obtain a diagnostic image.
The present disclosure relates to a C-shaped arm for use with a medical imaging system. In accordance with certain embodiments, the C-shaped arm comprises a C-shaped portion, a radiation source carried by the C-shaped portion, and a radiation detector carried by the C-shaped portion, wherein at least a portion of the C-shaped portion is formed of a unidirectional ultra-high modulus carbon fiber material.
Embodiments of the present invention provide a computed tomography (CT) imaging method and apparatus. The CT imaging method includes performing a three-dimensional scan of an examined site to obtain a three-dimensional scan image of the examined site and attenuation information of the examined site, the three-dimensional scan image being used to position a scan range. The method further includes calculating the tube current profile of an X-ray radiation dose for the examined site according to the three-dimensional scan image and attenuation information, and performing a main scan of the examined site according to the tube current profile to obtain a main scan image.
Systems/techniques that facilitate machine learning image analysis based on explicit equipment parameters are provided. In various embodiments, a system can access a medical image generated by a medical imaging device. In various instances, the system can perform, via execution of a machine learning model, an inferencing task on the medical image. In various cases, the machine learning model can receive as input the medical image and a set of equipment parameters. In various aspects, the set of equipment parameters can indicate how the medical imaging device was configured to generate the medical image.
Various methods and systems are provided for monitoring and displaying a patient status. In one example, the patient monitoring system includes a display device configured to display a patient status view include on or more multidimensional plots overlaying more than one of real time values, historical values, and upper and lower threshold values for a plurality of patient parameters, and additionally being configured to display an abbreviated representation of the one or more multidimensional plots that can be reached directly from the patient status view. The abbreviated representation is displayed in an unlaunched state, and displays a limited version of the respective multidimensional plot and is selectable to launch and enable the respective multidimensional plot to be seen.
A61B 5/00 - Measuring for diagnostic purposes ; Identification of persons
G16H 20/17 - ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to drugs or medications, e.g. for ensuring correct administration to patients delivered via infusion or injection
G16H 40/67 - ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices for remote operation
30.
C-ARM IMAGING SYSTEM AND MEDICAL IMAGE PROCESSING METHOD
Provided in embodiments of the present application are a C-arm imaging system and a medical image processing method. The medical image processing method includes acquiring medical images by using the C-arm imaging system; in a first stitching mode, labeling medical images selected from the acquired medical images, and stitching the labeled medical images to obtain a stitched image; and respectively displaying the acquired medical images, the labeled medical images, and the stitched image. According to the embodiments of the present application, an image stitching function suitable for a C-arm imaging system can be provided for existing C-arm imaging systems, thereby providing reference for a doctor to evaluate surgical effects during or after surgery.
The present discussion relates to structures and devices to facilitate application of an ultrasound therapy beam to a target anatomic region in a replicable manner. In certain aspects, adjustable positioning structures are described that allow a general probe positioning structure to be configured for a specific patient in a manner that allows the device to be used repeatedly to target the anatomic region, even when in non-clinical settings. In other aspects, a probe positioning structure is fabricated that is specific to a respective patient anatomy, such that use of the probe positioning structure provides repeatable targeting of the target anatomic region, even when in non-clinical settings.
Provided in embodiments of the present application are a medical image processing method, apparatus, and system. The medical image processing apparatus includes an acquisition unit, which acquires a first scout image obtained after a scout scan is performed on a subject to be examined, a first determination unit, which determines, according to a preset correspondence between a scout image and a section image, a predicted section image corresponding to a first region of interest in the first scout image, and a display unit, which displays in real time an updated predicted section image and scanning parameters corresponding to the updated predicted section image.
A flow diversion valve, the flow diversion valve including: a valve housing having a first inlet, a second inlet, a first outlet, a second outlet, and an inner cavity; a float valve provided within the inner cavity of the valve housing; and a check valve provided on the float valve. The flow diversion valve having a first configuration in which the float valve is in a closed position to provide a first flow path from the first inlet to the first outlet. The flow diversion valve having a second configuration in which the float valve is in an open position to provide a second flow path from the first inlet through the second outlet and a third flow path from the second inlet to the first outlet.
F16K 11/044 - Multiple-way valves, e.g. mixing valves; Pipe fittings incorporating such valves; Arrangement of valves and flow lines specially adapted for mixing fluid with all movable sealing faces moving as one unit comprising only lift valves with movable valve members positioned between valve seats
A61M 16/20 - Valves specially adapted to medical respiratory devices
F16K 15/06 - Check valves with guided rigid valve members with guided stems
A phase-contrast imaging detector includes a plurality of pixels. Each pixel includes a detection material that generates a measurable parameter in response to X-ray photons. Each pixel also includes a plurality of sub-pixel resolution readout structures. The sub-pixel resolution readout structures are in an alternating pattern with a spacing therebetween that is larger than a frequency of a phase-contrast interference pattern but small enough to enable charge sharing between adjacent sub-pixel resolution readout structures when an X-ray photon hits between the adjacent sub-pixel resolution readout structures. The phase-contrast imaging detector also includes readout circuitry configured to read out signals from the plurality of sub-pixel readout structures. The plurality of sub-pixel resolution readout structures includes two or more electrodes having alternating arms that form an interleaved comb structure.
A method includes allocating, by a controller to each of a plurality of wireless nodes, at least one initial slot for transmission of new data in a first frame and at least one retransmission slot for retransmission of data in one or more subsequent frames, including allocating to a second wireless node at least a first retransmission slot for data retransmission in one or more frames subsequent to a first frame; determining that there is a failed data transmission from a first wireless node during a first frame; determining that the second wireless node does not need the at least the first retransmission slot; and transmitting a retransmission slot allocation message including information indicating that the at least the first retransmission slot has been allocated to the first wireless node for at least one frame subsequent to the first frame.
A radio frequency coil assembly for an MRI system. A support structure extends between a first end and a second end in a first direction and between an inner surface and an opposite outer surface in a second direction perpendicular to the first direction. The support structure has channels that extend into the support structure in the second direction. An RF coil is configured to transmit and/or receive RF signals. The RF coil is supported by the outer surface of the support structure. The channels are at least partially positioned between the support structure and the RF coil in the first direction and are configured to convey a cooling medium to cool the support structure in use.
Various methods and systems are provided for ultrasound-assisted endoscopy. An ultrasound-assisted endoscopy system may include a selectively positioned bracket with an opening for receiving an endoscope and an array of transducer elements of an ultrasound probe that are aligned with a longitudinal axis of the endoscope. The ultrasound probe may be coupled to the endoscope by the selectively positioned bracket, which may be configured to acquire an image along the longitudinal axis.
A61B 8/12 - Diagnosis using ultrasonic, sonic or infrasonic waves in body cavities or body tracts, e.g. by using catheters
A61B 1/00 - Instruments for performing medical examinations of the interior of cavities or tubes of the body by visual or photographical inspection, e.g. endoscopes; Illuminating arrangements therefor
A61B 1/04 - Instruments for performing medical examinations of the interior of cavities or tubes of the body by visual or photographical inspection, e.g. endoscopes; Illuminating arrangements therefor combined with photographic or television appliances
A61B 1/303 - Instruments for performing medical examinations of the interior of cavities or tubes of the body by visual or photographical inspection, e.g. endoscopes; Illuminating arrangements therefor for the vagina, i.e. vaginoscopes
40.
METHODS AND SYSTEMS FOR PATIENT INFORMATION SUMMARIES
Various methods and systems are provided for generating and displaying summaries of patient information extracted from one or more medical reports stored in an electronic medical record (EMR) of a patient. In one example, a method includes receiving text data of a patient; entering the text data as input into a plurality of entity recognition models, each entity recognition model of the plurality of entity recognition models trained to label instances of a respective entity in the text data; aggregating the labeled text data outputted by each entity recognition model; generating a summary of the text data based on the aggregated labeled text data; and displaying and/or saving the summary and/or the aggregated labeled text data.
G16H 10/60 - ICT specially adapted for the handling or processing of patient-related medical or healthcare data for patient-specific data, e.g. for electronic patient records
Various methods and systems are provided for digital mammography imaging procedures. In one example a method for an x-ray system includes acquiring a comparative image of a patient with an x-ray detector, aligning the comparative image with a reference image which includes an ROI, mapping the ROI of the reference image onto the comparative image. When mapping indicates the ROI is outside of frame of the comparative image, the method includes displaying comparative image with instructions indicating a relative position of the ROI.
Methods and systems are provided for inferring thickness and volume of one or more object classes of interest in two-dimensional (2D) medical images, using deep neural networks. In an exemplary embodiment, a thickness of an object class of interest may be inferred by acquiring a 2D medical image, extracting features from the 2D medical image, mapping the features to a segmentation mask for an object class of interest using a first convolutional neural network (CNN), mapping the features to a thickness mask for the object class of interest using a second CNN, wherein the thickness mask indicates a thickness of the object class of interest at each pixel of a plurality of pixels of the 2D medical image; and determining a volume of the object class of interest based on the thickness mask and the segmentation mask.
The present application provides a method for obtaining a tube current value, a medical imaging system, and a non-transitory computer-readable storage medium. The example method for obtaining a tube current value includes obtaining a scanning protocol, performing a scout scan to obtain a scout image of a subject under examination, and obtaining a tube current value on the basis of a trained machine learning model, according to the scout image, the scanning protocol, and a preset image noise parameter.
G16H 40/63 - ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices for local operation
44.
SCANNING CONTROL SYSTEM AND METHOD FOR MAGNETIC RESONANCE IMAGING SYSTEM
An embodiment of the present invention provides a scanning control system for a magnetic resonance imaging system, comprising: a first 3D camera, configured to capture a three-dimensional image of a scan subject located on a scanning table of the magnetic resonance imaging system; a processing device, configured to identify body position information of the scan subject based on the three-dimensional image; and a control device, configured to set scanning parameters related to a body position based on the body position information.
A61B 5/055 - Detecting, measuring or recording for diagnosis by means of electric currents or magnetic fields; Measuring using microwaves or radio waves involving electronic [EMR] or nuclear [NMR] magnetic resonance, e.g. magnetic resonance imaging
G01R 33/3415 - Constructional details, e.g. resonators comprising surface coils comprising arrays of sub-coils
The present invention relates to a magnetic resonance system and a power supply device for a pulsed load of a magnetic resonance system. Embodiments of the present invention disclose a power supply device for a pulsed load of a magnetic resonance system. The power supply device includes: a switching power supply module, which is used to supply power to a pulsed load; a current measurement module, which is used to generate a pulse measurement signal on the basis of measuring the current of the pulsed load; a signal conversion module, which is used to convert the pulse measurement signal into a narrow pulse signal; and a drive controller, an input end of the drive controller being used to receive the narrow pulse signal, and the drive controller being used to drive the switching power supply module on the basis of the received narrow pulse signal.
G01R 33/28 - Arrangements or instruments for measuring magnetic variables involving magnetic resonance - Details of apparatus provided for in groups
H02M 3/158 - Conversion of dc power input into dc power output without intermediate conversion into ac by static converters using discharge tubes with control electrode or semiconductor devices with control electrode using devices of a triode or transistor type requiring continuous application of a control signal using semiconductor devices only with automatic control of output voltage or current, e.g. switching regulators including plural semiconductor devices as final control devices for a single load
H02M 3/335 - Conversion of dc power input into dc power output with intermediate conversion into ac by static converters using discharge tubes with control electrode or semiconductor devices with control electrode to produce the intermediate ac using devices of a triode or a transistor type requiring continuous application of a control signal using semiconductor devices only
46.
DEVICE FOR INFERRING VIRTUAL MONOCHROMATIC X-RAY IMAGE, CT SYSTEM, METHOD OF CREATING TRAINED NEURAL NETWORK, AND STORAGE MEDIUM
Systems and methods are described, which generate a plurality of virtual monochromatic X-ray images having different energy levels even with a CT system with single energy CT. An example CT system includes an X-ray tube in which a prescribed tube voltage (120 (kVp)) is applied and one or more processors. The one or more processors perform an operation including inputting a CT image generated based on the single energy CT data collected from a subject body to a trained neural network (94), and causing the trained neural network to infer 40 (keV), 50 (keV), 60 (keV), 80 (keV), 90 (keV), and 100 (keV) virtual monochromatic X-ray images based on the CT image.
A device including one or more processor for performing an operation, the operation including inputting a CT image into a first trained neural network, causing the first trained neural network to infer a virtual monochromatic X-ray image based on the CT image, generating a water density image and iodine density image based on the CT image and the virtual monochromatic X-ray image inferred by the first trained neural network, inputting the water density image and iodine density image into a second trained neural network, and causing the second trained neural network to infer a water density image and iodine density image based on the water density image and iodine density image.
Systems and methods are provided for improving color Doppler image quality using deep learning techniques. In a medical imaging system, signals associated with a medical imaging technique may be acquired and processed, with the processing including determining Doppler effects associated with at least some of the signals. Medical images configured for color Doppler based examination may be generated based on the processing of the acquired signals and the determining of the Doppler effects. The medical images may be low quality color images. The medical images may be processed using at least one reference medical image corresponding to at least one of the medical images, with the at least one reference medical image being high quality color image. The processing may include applying artificial intelligence (AI) based processing, such as deep learning based modeling. Improved medical images may then be generated based on the processing of the medical images.
A method of wireless pairing electronic devices includes: receiving a pairing request; transmitting, a first wildcard token via radio communication; searching for a pre-shared token; searching for the wildcard token via radio communication; establishing a wireless connection with a first device via radio communication based on the first wildcard token in response to receiving information including the first wildcard token from the first device; establishing a wireless connection with a second device via radio communication based on the pre-shared token in response to receiving information including the pre-shared token from the second device; and establishing radio communication at a second power level in response to initiating pairing with one or more of the first device and the second device.
Various methods and systems are provided for patient transfer. In one example, a method for controlling a patient table having a plurality of lockable casters comprises adjusting locking of the lockable casters sequentially in response to an indication of reversing of the patient table.
Systems/techniques that facilitate deep learning robustness against display field of view (DFOV) variations are provided. In various embodiments, a system can access a deep learning neural network and a medical image. In various aspects, a first DFOV, and thus a first spatial resolution, on which the deep learning neural network is trained can fail to match a second DFOV, and thus a second spatial resolution, exhibited by the medical image. In various instances, the system can execute the deep learning neural network on a resampled version of the medical image, where the resampled version of the medical image can exhibit the first DFOV and thus the first spatial resolution. In various cases, the system can generate the resampled version of the medical image by up-sampling or down-sampling the medical image until it exhibits the first DFOV and thus the first spatial resolution.
A physiological sensor includes a sensing element to detect physiological information from a patient's skin, a substrate configured to hold the sensing element on the patient's skin, and at least two contact probes on the substrate. The contact probes are positioned on the substrate such that galvanically contact the patient's skin when the substrate is fully attached against the patient's skin. A controller is configured to measure impedance between the at least two contact probes and determine whether the substrate has lifted from the patient's skin based on the impedance.
Methods and systems are provided for cooling hot spots on a body coil assembly of an MRI system. In one embodiment, an airflow guide of a body coil assembly of an MRI system comprises a first surface that forms an air passage when the airflow guide is positioned on the body coil assembly, the air passage enclosed by the first surface and a second, outer surface of an RF coil of the body coil assembly, the airflow guide configured to channel cool air generated by a fan to the second, outer surface of the RF coil. The airflow guide may be arranged circumferentially around a portion of the RF coil at one or more ends of the RF coil. The airflow guide may be manufactured as a plurality of airflow guide segments that are glued together.
A medical imaging system includes a CT imaging system including a gantry having a bore, rotatable about an axis of rotation. The CT imaging system includes a table configured to move a subject to be imaged into and out of the bore, a radiation source mounted on the gantry and configured to emit an X-ray beam, and a detector configured to detect the X-ray beam. The medical imaging system includes a LiDAR scanning system physically coupled to the CT imaging system. The LiDAR scanning system is configured to acquire data of the subject from different angular positions relative to the axis of rotation. The medical imaging system includes processing circuitry configured to receive the data acquired with the LiDAR scanning system, to generate a three-dimensional (3D) measurement of the subject, and to utilize the 3D measurement in a subsequent workflow process for a CT scan of the subject.
G01N 23/046 - Investigating or analysing materials by the use of wave or particle radiation, e.g. X-rays or neutrons, not covered by groups , or by transmitting the radiation through the material and forming images of the material using tomography, e.g. computed tomography [CT]
55.
SYSTEMS AND METHODS FOR A TOUCHSCREEN INTERFACE WITH SPIN WHEEL WIDGET
Various methods and systems are provided for touchscreens including an interface with a spin wheel widget. In one embodiment, a system comprises: a touchscreen display; and a computing device operably coupled to the touchscreen display and storing instructions in non-transitory computer memory that when executed, cause the computing device to: detect touch inputs applied to the touchscreen display; and responsive to detecting the touch inputs, output a graphical user interface (GUI) to the touchscreen display and orient the GUI based on an arrangement of the touch inputs.
G06F 3/04886 - Interaction techniques based on graphical user interfaces [GUI] using specific features provided by the input device, e.g. functions controlled by the rotation of a mouse with dual sensing arrangements, or of the nature of the input device, e.g. tap gestures based on pressure sensed by a digitiser using a touch-screen or digitiser, e.g. input of commands through traced gestures by partitioning the display area of the touch-screen or the surface of the digitising tablet into independently controllable areas, e.g. virtual keyboards or menus
56.
AUTOMATED ULTRASOUND BLEEDING DETECTION AND TREATMENT
In accordance with the present disclosure, ultrasound-based techniques using a combined scanning and treatment array module are employed to find and treat anomalies corresponding to bleed events. By way of example, ultrasound data may be acquired with a scanning array at one or more locations on a patient anatomy. A treatment array may deliver heat to a targeted anomaly to provide therapy. Such a technique may be useful outside of a hospital environment.
A61B 5/02 - Measuring pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography; Heart catheters for measuring blood pressure
A61B 8/08 - Detecting organic movements or changes, e.g. tumours, cysts, swellings
57.
METHOD AND SYSTEM FOR DEFINING A BOUNDARY OF A REGION OF INTEREST BY APPLYING THRESHOLD VALUES TO OUTPUTS OF A PROBABILISTIC AUTOMATIC SEGMENTATION MODEL BASED ON USER-SELECTED SEGMENTATION SENSITIVITY LEVELS
Systems and methods for defining a boundary of a region of interest in an ultrasound image are provided. The method includes receiving an ultrasound image having pixels and automatically processing the ultrasound image to output a probability of each of the pixels being in a region of interest. The method includes applying a first threshold value to determine a boundary of the region of interest. The first threshold value corresponds with a first segmentation sensitivity level of a plurality of segmentation sensitivity levels. The method includes displaying the ultrasound image with the boundary overlaid on the ultrasound image. The method includes receiving a user selection of a second segmentation sensitivity level that corresponds with a second threshold value different from the first threshold value, and dynamically updating the boundary overlaid on the ultrasound image at the display based on the second threshold value.
A method includes obtaining emission-tomography functional image data and a corresponding reconstructed anatomical image volume including at least one organ having natural motion; pre-determining a dedicated model for spatial mismatch correction of the at least one organ; performing initial image reconstruction of the emission-tomography functional image data to generate a reconstructed emission-tomography functional image volume utilizing attenuation correction based on the corresponding reconstructed anatomical image volume; and identifying relevant anatomical regions, within both image volumes, where functional image quality may be affected by the natural motion of the at least one organ. The method includes identifying and evaluating potential attenuation-correction image artifacts in the reconstructed emission-tomography functional image volume; estimating model parameters based on confirmed attenuation-correction image artifacts; correcting the corresponding reconstructed anatomical image volume to generate a corrected anatomical image volume; and reconstructing the emission-tomography functional image data utilizing attenuation correction based on the corrected anatomical image volume.
The disclosure relates to a system and a method to eliminate noise from imaging data The disclosure provides system comprising a plurality of coils configured to generate one or more data sets and a processor may be configured to receive the data sets from the plurality of coils. The processor may determine an interference removal parameter from the data sets received from the plurality of coils. The interference removal parameter may remove noise from the one or more data sets.
Systems and methods are provided for increasing a quality of computed tomography (CT) images. In one embodiment, a computed tomography (CT) detector system comprises a layer of energy integrating detectors (EID) arranged below a layer of photon counting (PC) sensors with respect to an incoming x-ray, where a number of the PC sensors exceeds a number of the EID detectors; and an image processing unit configured to correct PC data using EID data, and denoise and increase a resolution of an image reconstructed from EID data and PC data using a deep learning convolutional neural network (CNN) trained on pairs of images, each pair of images including a target image reconstructed from a first signal from the layer of PC sensors, and an input image reconstructed from a second signal from the layer of EID detectors, the EID data and PC data acquired concurrently from a same patient ray path.
Various methods and systems are provided for a user interface of a medical imaging system. In one embodiment, a method may include displaying a slider bar comprising a track having a fixed range of values, a first slider thumb defining a maximum value of a first adjustable range on the track, and a second slider thumb defining a minimum value of a second adjustable range on the track; operating the first slider thumb and the second slider thumb in one of a linked mode and an unlinked mode; and adjusting one or both of the maximum value of the first adjustable range and the minimum value of the second adjustable range in response to receiving a single user input based on whether the first slider thumb and the second slider thumb are operating in the linked mode or the unlinked mode.
A computer-implemented method for motion compensation of medical imaging data includes estimating, via a processor, non-periodic motion of a myocardium of a heart due to respiration and/or other body movements throughout a positron emission tomography (PET) scan based on list-mode emission data acquired during the PET scan of the heart of a subject. The method also includes performing, via the processor, event-by-event motion-corrected list-mode reconstruction on the list-mode emission data to generate cardiac images with the non-periodic motion removed.
Systems and methods are provided for computed tomography (CT) imaging. In one embodiment, a method comprises adaptively blending at least two input image volumes with different spatially-variant noise characteristics to generate an output image volume with uniform noise throughout the output image volume. In this way, images may be reconstructed from projection data with data redundancy without introducing image artifacts from stitching images or variance in image noise due to the data redundancy.
G06T 5/20 - Image enhancement or restoration by the use of local operators
G01N 23/046 - Investigating or analysing materials by the use of wave or particle radiation, e.g. X-rays or neutrons, not covered by groups , or by transmitting the radiation through the material and forming images of the material using tomography, e.g. computed tomography [CT]
A61B 6/00 - Apparatus for radiation diagnosis, e.g. combined with radiation therapy equipment
A61B 6/02 - Devices for diagnosis sequentially in different planes; Stereoscopic radiation diagnosis
Systems and methods are provided for an image processing system. In an example, a method includes acquiring a pathology dataset, acquiring a reference dataset, generating a deformation field by mapping points of a reference case of the reference dataset to points of a patient image of the pathology dataset, manipulating the deformation field, applying the deformation field to the reference case to generate a simulated pathology image including a simulated deformation pathology, and outputting the simulated pathology image.
G06V 10/774 - Generating sets of training patterns; Bootstrap methods, e.g. bagging or boosting
G06V 10/77 - Arrangements for image or video recognition or understanding using pattern recognition or machine learning using data integration or data reduction, e.g. principal component analysis [PCA] or independent component analysis [ICA] or self-organising maps [SOM]; Blind source separation
G06T 19/20 - Editing of 3D images, e.g. changing shapes or colours, aligning objects or positioning parts
G16H 30/40 - ICT specially adapted for the handling or processing of medical images for processing medical images, e.g. editing
G16H 50/50 - ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for simulation or modelling of medical disorders
Various methods and systems are provided for denoising images. In one example, a method includes obtaining an input image and a noise map representing noise in the input image, generating, from the noise map and based on a calibration factor, a strength map, entering the input image and the strength map as input to a denoising model trained to output a denoised image based on the input image and the strength map, and displaying and/or saving the denoised image output by the denoising model.
An ultrasound imaging system and method of ultrasound imaging. The method includes initiating a live ultrasound scanning session and saving a first sequence of images in a volatile memory. The method includes receiving a store command while in a retrospective image capture mode during the live ultrasound scanning session. The method includes detecting that the first sequence of images does not meet a length threshold and automatically continuing to acquire a second sequence of images. The method includes detecting that the combination of the first sequence of images and the second sequence of images meets or exceeds the length threshold and saving a third sequence of images as a cineloop in a non-volatile memory, the third sequence of images including both at least a portion of the first sequence of images and at least a portion of the second sequence of images.
A radio-frequency power output device includes a cooling plate, a temperature detection module, and a control module. The cooling plate is provided with a first circuit board and a second circuit board respectively on two opposite sides thereof, and the first circuit board and the second circuit board are provided with a first radio-frequency power amplification circuit and a second radio-frequency power amplification circuit, respectively. The temperature detection module is used to obtain the temperature of the first circuit board and the temperature of the second circuit board. The control module controls, based on the temperature of the first circuit board, the first radio-frequency power amplification circuit to output a radio-frequency power signal at a target temperature, and controls, based on the temperature of the second circuit board, the second radio-frequency power amplification circuit to output a radio-frequency power signal at the target temperature.
An infant warming system can include a platform for supporting an infant, at least two chest electrodes configured to connect to and detect cardiac potentials from a chest of the infant, an ECG monitor configured to receive the cardiac potentials from the at least two chest electrodes, a pulse oximeter device configured to determine an SpO2 for the infant, and a processor configured to determine one or more activation thresholds for the infant, wherein the one or more activation thresholds represent one or more target saturation levels for the infant. The processor can also compare the heart rate for the infant to a first heart rate threshold and compare the SpO2 for the infant to the one or more target saturation levels, adjust a display on a display device based on the comparisons, and generate a care instruction for a care stage based on the SpO2 of the infant.
A61B 5/0245 - Measuring pulse rate or heart rate using sensing means generating electric signals
A61B 5/1455 - Measuring characteristics of blood in vivo, e.g. gas concentration, pH-value using optical sensors, e.g. spectral photometrical oximeters
G16H 50/30 - ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for individual health risk assessment
G16H 40/63 - ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices for local operation
A61H 31/00 - Artificial respiration or heart stimulation, e.g. heart massage
G16H 20/40 - ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to mechanical, radiation or invasive therapies, e.g. surgery, laser therapy, dialysis or acupuncture
A radio frequency (RF) receiving coil assembly for a magnetic resonance imaging (MRI) system includes a flexible enclosure. The RF receiving coil assembly also includes an RF coil disposed within the flexible enclosure, wherein the RF coil comprises a plurality of flexible loops having a malleable conductor. The RF receiving coil assembly further includes at least one cutout in the flexible enclosure located outside an area where the RF coil is disposed within the flexible enclosure. The at least one cutout is configured to provide a handle for handling the RF receiving coil assembly.
G01R 33/34 - Constructional details, e.g. resonators
A61B 5/055 - Detecting, measuring or recording for diagnosis by means of electric currents or magnetic fields; Measuring using microwaves or radio waves involving electronic [EMR] or nuclear [NMR] magnetic resonance, e.g. magnetic resonance imaging
G01R 33/3415 - Constructional details, e.g. resonators comprising surface coils comprising arrays of sub-coils
70.
ROTATING NUCLEAR MEDICINE DETECTOR WITH TWO COLLIMATORS
A radiation detector head assembly includes a detector column including a detector having a first surface and a second surface opposite the first surface. The detector column includes a first collimator disposed over the first surface of the detector and a second collimator disposed over the second surface of the detector. The detector column includes a first radiation shield disposed over the first collimator, wherein the first radiation shield includes a first recess for receiving the first collimator and a first opening over a third surface of the first collimator, the third surface being opposite the first surface of the detector. The detector column includes a second radiation shield disposed over the second collimator, wherein the second radiation shield includes a second recess for receiving the second collimator and a second opening over a fourth surface of the second collimator, the fourth surface being opposite the second surface.
A C-arm imaging system includes a C-arm, and a sliding support assembly. The C-arm includes a first end portion and a second end portion which are oppositely disposed. The first end portion is used to connect to the X-ray tube assembly, while the second end portion is used to connect to the detector assembly, and the X-ray tube assembly and the detector assembly are aligned. The sliding support assembly is connected to the C-arm, and the C-arm can slide relative to the sliding support assembly, wherein the C-arm rotates at a rotational angle of not less than 90 degrees relative to the sliding support assembly from a first position to the first end portion or the second end portion, the first position being a position where the line connecting the center of the detector assembly and the center of the X-ray tube assembly is in a vertical direction.
Methods and systems are provided for automatic placement of at least one saturation band on a medical image, which may direct saturation pulses during a MRI scan. A method may include acquiring a localizer image of an imaging subject, determining a plane mask for the localizer image by entering the localizer image as input to a deep neural network trained to output the plane mask based on the localizer image, generating a saturation band based on the plane mask by positioning the saturation band at a position and an angulation of the plane mask, and outputting a graphical prescription for display on a display device, the graphical prescription including the saturation band overlaid on the medical image.
In one embodiment, a method of obtaining a computed tomography scan of a region of interest includes determining a region of interest. The region of interest is a portion of an object being scanned. The method also includes selectin an appropriate static filter of a pre-patient collimator from a plurality of pre-patient collimators and positioning the selected static filter of the pre-patient collimator in a path of an x-ray beam. The method may also include adjusting a table of the CT system to position the region of interest in the path of the region of interest.
The subject matter of the present disclosure generally relates to techniques for neuromodulation of a tissue that include applying energy (e.g., ultrasound energy) into the tissue at multiple regions of interest, concurrently or consecutively. The neuromodulation may result in tissue displacement, which may be observed through changes in one or more molecules of interest.
Various methods and systems are provided for generating super-resolution images. In one embodiment, a method comprises: progressively up-sampling an input image to generate a super-resolution output image by: generating N intermediate images based on the input image, where N is equal to at least one, including a first intermediate image by providing the input image to a deep neural network, where a resolution of the first intermediate image is a multiple of a resolution of the input image, higher than the resolution of the input image, and can be any positive real value and not necessarily an integer value; generating the super-resolution output image based on the N intermediate images, the super-resolution output image having a resolution higher than a respective resolution of each intermediate image of the N intermediate images and the resolution of the input image; and displaying the super-resolution output image via a display device.
Various methods and systems are provided for a self-sanitizing touchscreen in a liquid crystal display of a medical device. In one example, ultraviolet light of a first wavelength may be generated from one or more light emitting diode (LED) engines positioned along a perimeter of the touchscreen or integrated in the LCD assembly to sanitize the touchscreen, the ultraviolet (UV) light flooding the touchscreen to sanitize the touchscreen.
The subject matter of the present disclosure generally relates to techniques for neuromodulation of a tissue that include applying energy (e.g., ultrasound energy) into the tissue to cause altered activity at a synapse between a neuron and a non-neuronal cell.
An impedance-based respiration monitoring system for apnea detection includes at least three surface electrodes configured to record impedance respiration data from a patient's torso, a signal processing system, and an apnea detection module. The signal processing system is configured to generate a first respiration lead formed by a first set of surface electrodes from the at least three surface electrodes, the first respiration lead providing a first series of impedance measurements, and to generate a second respiration lead formed by a second set of surface electrodes attached to the patient's torso, the second lead providing a second series of impedance measurements. The apnea detection module is executable on a processor to calculate a first apnea metric based on the first series of impedance measurements, and calculate a second apnea metric based on the second series of impedance measurements. An apnea event is then detected based on the first apnea metric and the second apnea metric.
A method and system for obtaining and analyzing ECG waveforms from a patient is disclosed. Initially, a recommendation for obtaining an ECG waveform from a patient is issued, typically from a cardiologist. An ECG recording device is used to obtain ECG data from the patient. The recording device generates patient identification information, time and date information and an initial analysis that are included in a log delivered along with the ECG data to an analysis server. The analysis server generates a recommended action for the patient, which is delivered to the recording device while the patient is still present at the recording device. The recording device can then carry out the recommended action and provide the results for analysis by the cardiologist. The analysis server can utilize artificial intelligence/machine learning to generate the recommended action for the patient without having to involve the cardiologist, thereby reducing the number of visits for the treatment of the patient.
A61B 5/00 - Measuring for diagnostic purposes ; Identification of persons
G16H 40/67 - ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices for remote operation
G16H 50/70 - ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for mining of medical data, e.g. analysing previous cases of other patients
A61B 5/364 - Detecting abnormal ECG interval, e.g. extrasystoles or ectopic heartbeats
82.
IMAGE DATA PROCESSING TO INCREASE FOLLOW-UP ANALYSIS FIDELITY
Techniques are provided for improving image data quality, such as in functional imaging follow-up studies, using reconstruction, post-processing, and/or deep-learning enhancement approaches in a way that automatically improves analysis fidelity, such as lesion tracking fidelity. The disclosed approaches may be useful in improving the performance of automatic analysis methods as well as in facilitating reviews performed by clinician.
Systems/techniques that facilitate improved uncertainty scoring for neural networks via stochastic weight perturbations are provided. In various embodiments, a system can access a trained neural network and/or a data candidate on which the trained neural network is to be executed. In various aspects, the system can generate an uncertainty indicator representing how confidently executable or how unconfidently executable the trained neural network is with respect to the data candidate, based on a set of perturbed instantiations of the trained neural network.
Various methods and systems are provided for a rotary user interface for a touchscreen display. In one embodiment, a rotary user interface for a touchscreen display comprises: an alignment touchscreen nib; a rotary interface wheel; and a rotary touchscreen nib coupled to the rotary interface wheel and rotatable relative to the alignment touchscreen nib via the rotary interface wheel. The rotary user interface may further include a confirmation touchscreen nib coupled to the rotary interface wheel.
G06F 3/0362 - Pointing devices displaced or positioned by the user; Accessories therefor with detection of 1D translations or rotations of an operating part of the device, e.g. scroll wheels, sliders, knobs, rollers or belts
G06F 3/0488 - Interaction techniques based on graphical user interfaces [GUI] using specific features provided by the input device, e.g. functions controlled by the rotation of a mouse with dual sensing arrangements, or of the nature of the input device, e.g. tap gestures based on pressure sensed by a digitiser using a touch-screen or digitiser, e.g. input of commands through traced gestures
85.
NOISE PRESERVING MODELS AND METHODS FOR RESOLUTION RECOVERY OF X-RAY COMPUTED TOMOGRAPHY IMAGES
Noise preserving models and methods for resolution recovery of x-ray computed tomography (e.g., using a computerized tool) are enabled. For example, a system can comprise: a memory that stores computer executable components, and a processor that executes the computer executable components stored in the memory, wherein the computer executable components comprise: a pair generation component that generates a pair of images, the pair of images comprising an input image and a ground truth image, a training component that trains a machine learning based sharpening algorithm by approximately minimizing a loss function that determines an error between a sharpened image and the ground truth image, and a sharpening component that, using the sharpening algorithm, sharpens the input image to generate the sharpened image, wherein the sharpened image comprises a second noise that is similar in intensity to a first noise of the input image.
Systems and methods for automatically tracking a minimal hiatal dimension plane of an ultrasound volume in real-time during a pelvic floor examination are provided. The method includes acquiring an ultrasound volume of an anatomical region over a time period. The method includes extracting an A-plane from the ultrasound volume and displaying the A-plane. The method includes receiving an OmniView (OV) line overlaid on the A-plane. The method includes rendering an OV-plane based on a position and trajectory of the OV-line and displaying the OV-plane. The method includes automatically identifying key points in regions of interest in the A-plane. The method includes automatically tracking the key points in the regions of interest in the A-plane over the time period to automatically adjust the position and trajectory of the OV-line, the rendering the OV-plane automatically updating over the time period based on adjustments of the position and trajectory of the OV-line.
A61B 8/08 - Detecting organic movements or changes, e.g. tumours, cysts, swellings
A61B 8/00 - Diagnosis using ultrasonic, sonic or infrasonic waves
87.
SYSTEM AND METHOD FOR UTILIZING A SINGLE ULTRASOUND IMAGING DEVICE TO SIMULTANEOUSLY MEASURE A MATERNAL HEART RATE AND FETAL HEART RATES OF MULTIPLE FETUSES
An ultrasound system includes a single transducer. The single transducer includes a flexible substrate. The single transducer also includes an array of transducer elements disposed on the flexible substrate and configured to be disposed on an abdomen of a subject having one or more fetuses disposed within a single uterus and to acquire scan data. The ultrasound system also includes a processor coupled to the single transducer and configured to receive the scan data and to determine a respective fetal heart rate of each fetus of the one or more fetuses based on the scan data.
A manifold for a gradient coil cooling manifold assembly of an MRI system includes a first main fluid passage defined by a first wall. The manifold also includes a first set of secondary fluid passages coupled to the first main fluid passage and defined by respective walls, wherein the first wall of the first main fluid passage and the respective walls of the first set of secondary fluid passages form barb connectors configured to couple to respective hoses. The manifold is formed as a single integral piece.
Presently disclosed are systems and methods for extrapolating a predictive two-dimensional (2D) segmentation to indicate a predicted region of interest (ROI) in a 2D medical image frame rendered from a set of three-dimensional (3D) medical scan data, wherein the predictive segmentation is based on a user-defined 2D segmentation that annotates the ROI in another image frame rendered from the 3D medical scan data. Present embodiments can utilize a user-defined or user-modified 2D segmentation of a frame to extrapolate predicted 2D segmentations for all of the other frames within a set of 3D medical scan data. This enables present embodiments to effectively annotate the ROI in a series of 2D medical image frames with minimal input from a clinician, reducing the amount of time the clinician spends analyzing the 3D medical scan data.
A composition is provided. The composition includes a magnetic resonance (MR) probe and a glassification agent. The glassification agent includes lactic acid.
A system comprising a processor configured to obtain a feature set for a component and generate random trees based on the feature set and a training data set, wherein each of the random trees can include at least one predictive value representing a probability of a feature of the random trees indicating a failure of the component within a period of time. The processor can also select a subset of the random trees based on the at least one predictive value, determine a likelihood of the failure of the component based on operational data for one or more devices and the subset of the random trees, and transmit an explanation to a remote device for the likelihood of failure of the component by indicating the feature selected from the subset of the random trees.
An image processing system and method is provided for correcting artefacts within a three-dimensional (3D) volume reconstructed from a plurality of two-dimensional (2D) projection images of an object. The system and method is implemented on an imaging system having a processing unit operable to control the operation of a radiation source and a detector to generate a plurality of 2D projection images. The system also includes a memory connected to the processing unit and storing processor-executable code that when executed by the processing unit operates to reconstruct the 3D volume from the plurality of 2D projection images, the 3D volume defined in a pseudo parallel geometry based on a zero angle from the plurality of 2D projection images, wherein reconstructing the 3D volume comprises reconstructing a 3D virtual object defined in a pseudo parallel geometry based on the zero angle from the plurality of 2D projection images, and correcting the 3D virtual object to form the 3D volume.
Various methods and systems are provided for predicting a discharge date of a patient of a healthcare facility. In one embodiment, a method for a patient management system of a healthcare facility comprises receiving a selected confidence level from a user of the patient management system; predicting a date for discharging a patient of the healthcare facility using a trained discharge date prediction model, based on a set of patient data of the patient, the discharge date prediction model trained on historical patient data of the healthcare facility; based on the received confidence level and an output of the trained discharge date prediction model, predict a discharge date window of the patient; generating a predicted discharge date window element summarizing the discharge window prediction in a user interface (UI) of the patient management system; and displaying the UI on a display device of the patient management system.
G16H 40/20 - ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the management or administration of healthcare resources or facilities, e.g. managing hospital staff or surgery rooms
G16H 10/60 - ICT specially adapted for the handling or processing of patient-related medical or healthcare data for patient-specific data, e.g. for electronic patient records
Systems/techniques that facilitate improved neural network inferencing efficiency with fewer parameters are provided. In various embodiments, a system can access a medical image on which an artificial intelligence task is to be performed. In various aspects, the system can facilitate the artificial intelligence task by executing a neural network pipeline on the medical image, thereby yielding an artificial intelligence task output that corresponds to the medical image. In various instances, the neural network pipeline can include respective skip connections from the medical image, prior to any convolutions, to each convolutional layer in the neural network pipeline.
Methods and systems are provided for increasing a quality of computed tomography (CT) images. In one embodiment, a method for a photon-counting computed tomography (PCCT) system comprises, adjusting an X-ray tube output current of the PCCT system across and/or within one or more views, the current adjusted between a first current and a second current, the first current higher than the second current; for a view of the one or more views scanned by the PCCT system, applying a first pile-up correction to a first photon count output at each detector of a detector array of the PCCT system at the first current, the first pile-up correction calculated based on a second pile-up correction applied to a second photon count output at each detector at the second current; and reconstructing an image based on the corrected first photon count and the corrected second photon count.
Methods and systems are provided for repairing a defective segment of a sensor array of a photon counting detector of a photon counting computed tomography (PCCT) imaging system. In one example, a method for a PCCT imaging system comprises dividing a segment of the sensor array into a plurality of sub-segments, wherein each sub-segment of the plurality of sub-segments is electrically coupled to a readout electronics, the readout electronics configured to calculate a photon count for the segment; generating a total photon count for the divided segment based on combined electrical signals produced at each sub-segment of the divided segment; and reconstructing an image based on the total photon count at the divided segment. A defect detected in the divided segment may be traced to a defective sub-segment, which may be isolated from the readout electronics, thereby increasing a quality of the reconstructed image.
Provided in the present invention are a cart for an ultrasonic imaging system and an ultrasonic imaging system. The cart includes a height adjustable column, and the column includes an elevation device and a balancing unit adjustment device. The elevation device is used to adjust the height of the cart, and the balancing unit adjustment device includes a force balancing unit and a knob. The force balancing unit includes an elastic assembly, and the force balancing unit is used to balance the lifting force required by the elevation device to implement lifting. The knob is connected to the force balancing unit and installed on the outside of the column to adjust the elasticity of the elastic assembly, so as to alter the lifting force.
A medical device is described. The medical device includes a gantry including an X-ray tube that can rotate on a path centered on a rotation axis and an X-ray controller that controls the X-ray tube, a table on which a subject can lie, and at least one processor. The medical device executes a first scan on the subject, where the processor executes operations including determining a first position on the path for arranging the X-ray tube for the first scan based on the direction the portion of the subject body to be imaged is facing, and controlling the X-ray tube by means of the X-ray controller such that the X-ray tube irradiates X-rays from said first position.
A medical device is described. The medical device includes a table and a processor. The processor executes operations including, driving the table based on an offset for correcting the table height positional offset to position the imaging location of a subject at a prescribed table height position, determining a center of gravity of the imaging location of the subject in the height direction of the table based on the medical image of the imaging location of the subject, calculating a difference between the prescribed position and the center of gravity as positional deviation of table height, and storing the positional deviation. The processor further executes operations including obtaining a representative value representing characteristics of the positional deviation distribution, determining whether the representative value of the positional deviation is statistically reliable, and updating the offset based on the representative value if the representative value is determined to be statistically reliable.
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