Abstract: Methods and systems are provided for automatically characterizing lesions in ultrasound images. In one example, a method includes automatically determining an A/B ratio of a region of interest (ROI) via an A/B ratio model that is trained to output the A/B ratio using a B-mode image of the ROI and an elastography image of the ROI as inputs, and displaying the A/B ratio on a display device.

Abstract: Various methods and systems are provided for identifying connected regions in ultrasound images. An exemplary method includes acquiring ultrasound video data of an anatomical region while a force is being applied to induce movement within the anatomical region, the ultrasound video data including a plurality of ultrasound images. The method includes identifying two or more connected regions in one of the plurality of ultrasound images, generating a modified ultrasound image by graphically distinguishing the first connected region from the second connected region, and causing a display device to display the modified image.

Abstract: 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.

Abstract: Various methods and systems are provided for ultrasound imaging. In one embodiment, a method comprises acquiring, via an ultrasound probe, Doppler measurements over a plurality of cardiac cycles, evaluating a flow profile comprising the Doppler measurements to detect an abnormality in the flow profile, and displaying, via a display device, the flow profile with a reference flow profile overlaid thereon. In this way, the attention of a physician evaluating results from an ultrasound imaging examination may be directed to abnormal flow that is potentially indicative of pathologies, thereby enabling earlier and more accurate diagnosis of pathologies.

Abstract: 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.

Abstract: Systems and methods for deep learning based magnetic resonance imaging (MRI) examination acceleration are provided. The method of deep learning (DL) based magnetic resonance imaging (MRI) examination acceleration comprises acquiring at least one fully sampled reference k-space data of a subject and acquiring a plurality of partial k-space of the subject. The method further comprises grafting the plurality of partial k-space with the at least one fully sampled reference k-space data to generate a grafted k-space for accelerated examination. The method further comprises training a deep learning (DL) module using the fully sampled reference k-space data and the grafted k-space to remove the grafting artifacts.

Abstract: A method for making ultrasound transducers and ultrasound probes includes providing a piezoelectric layer having a first surface and a second surface, where the second surface is on an opposite side of the piezoelectric layer from the first surface. The method includes fabricating a plurality of conductive through vias extending from the first surface to the second surface of the piezoelectric layer, where fabricating the plurality of conductive through vias comprises cutting a plurality of trenches through the piezoelectric layer and filling each of the plurality of trenches with a conductive material. The method includes cutting the piezoelectric layer into a plurality of transducer units after fabricating the plurality of conductive through vias and cutting each of the transducer units into a plurality of transducer elements.

Abstract: 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.

Abstract: Systems and methods are provided for utilizing histogram views for improved visualization of three-dimensional (3D) medical images. Imaging data obtained during medical imaging examination of a patient may be processed, with the imaging data corresponding to a particular medical imaging technique. At least one medical image may be generated based on processing of the imaging data. Histogram data may be generated based on the at least one medical image. At least one histogram may be displayed along with the at least one medical image or a projection of the at least one medical image, with the at least one histogram including or being is based on the histogram data, and with the at least one histogram being displayed next to and aligned with the at least one medical image or the projection of the at least one medical image.

Abstract: Systems and methods are provided for integrating artificial intelligence (AI) workflows. In one example, a method includes receiving, from a medical image storage device, an instance availability notification, in response to determining that the notification indicates that one or more medical images have been saved at the medical image storage device, querying the medical image storage device to retrieve metadata associated with the one or more medical images, initiating a work-item with an AI orchestration platform for the metadata, and receiving, from the AI orchestration platform via the work-item, AI results related to the one or more medical images.

Abstract: The present utility model provides a test bed, a magnetic resonance imaging system, and a medical imaging system. The test bed includes a support frame used to bear a tested object, a base used to support the support frame, and at least one weighing assembly. The at least one weighing assembly is fixed to the base, and acquires weight information of the tested object by sensing stress from the support frame.

Abstract: 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.

Abstract: In the present invention, provided are a magnetic resonance imaging system, a method for determining a SAR value of a magnetic resonance imaging system, and a computer-readable storage medium. The system comprises a radio-frequency transmitting coil, configured to receive radio-frequency power from a radio-frequency transmitting link and transmit radio-frequency power required for imaging to a scanned object. The system further comprises a reflection coefficient determining module, a resistance value determining module, and a SAR value determining module. The reflection coefficient determining module is configured to acquire a frequency response of a first input reflection coefficient of the radio-frequency transmitting coil when having no load and a frequency response of a second input reflection coefficient thereof when having the scanned object.

Abstract: The current disclosure provides methods and systems for increasing an accuracy and/or suitability of an automated measurement of a medical image. In one embodiment, the current disclosure provides for a method comprising: receiving one or more user-selected measurement points for an automated measurement of an anatomical feature of a medical image from a user; predicting one or more additional measurement points for the automated measurement based on the one or more user-selected measurement points and based on a comparison of the anatomical feature of the medical image with a plurality of images of the anatomical feature via a trained network; and performing the automated measurement of the anatomical feature based at least on the one or more additional measurement points.

Abstract: Methods and systems are provided for receiving beamforming of ultrasound signals to generate ultrasound images with increased resolution. In one example, a method for an ultrasound system including a plurality of ultrasound transducers each coupled to a respective receive channel includes time-delaying a set of ultrasound receive channel signals to form a plurality of time-delayed sets of ultrasound receive channel signals, each time-delayed set of ultrasound receive channel signals time-delayed based on a different beamforming sound speed, calculating a beamforming quality metric for each receive channel and for each time-delayed set of ultrasound receive channel signals, and generating an ultrasound image from ultrasound receive channel signals selected from the plurality of time-delayed sets of ultrasound receive channel signals based on each beamforming quality metric.

Abstract: 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.

Abstract: A method for verifying aperture positions of a pre-patient collimator of a computed tomography (CT) imaging system includes obtaining data collected by an X-ray measurement device having detector elements subjected to X-rays emitted from an X-ray source of the CT imaging system with the pre-patient collimator at an expected aperture position. The method also includes calculating a measured collimator aperture position for the pre-patient collimator based on the obtained data. The method further includes comparing the measured collimator aperture position to a system specification for the expected aperture position for the CT imaging system. The method even further includes generating an output based on the comparison of the measured collimator aperture position to the system specification.

Abstract: 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.