Abstract: Various methods and systems are provided for stationary CT imaging. In one embodiment, a modular imaging system comprises a plurality of distributed x-ray units releasably coupled to a plurality of detector arrays, with the plurality of distributed x-ray units and the plurality of detector arrays forming a self-supporting structure including a central opening shaped to receive a subject to be imaged. The modular imaging system may image the subject without rotation of the distributed x-ray units or detector arrays around the subject.

Abstract: Systems and methods for tissue specific time gain compensation of an ultrasound image are provided. The method comprises acquiring an ultrasound image of a subject and displaying the ultrasound image over a console. The method further comprises selecting by a user a region within the ultrasound image that requires time gain compensation. The method further comprises carrying out time gain compensation of the user selected region of the ultrasound image. The method further comprises identifying a region having a similar texture to the user selected region and carrying out time gain compensation of the user selected region by an artificial intelligence (AI) based deep learning module.

Abstract: Systems and methods are provided for quantifying uncertainty of segmentation mask predictions made by machine learning models, where the uncertainty may be used to streamline an anatomical measurement workflow by automatically identifying less certain caliper placements. In one example, the current disclosure teaches receiving an image including a region of interest, determining a segmentation mask for the region of interest using a trained machine learning model, placing a caliper at a position within the image based on the segmentation mask, determining an uncertainty of the position of the caliper, and responding to the uncertainty of the position of the caliper being greater than a pre-determined threshold by displaying a visual indication of the position of the caliper via a display device and prompting a user to confirm or edit the position of the caliper.

Abstract: A method for determining a lesion location in a patient for biopsy along X, Y, and Z axes. The method includes positioning the patient in an examination device to collect examination images showing the lesion. The method includes positioning the patient in a biopsy device configured for holding the patient during the biopsy and collecting a biopsy image of the patient using the biopsy device. The method includes analyzing the biopsy image to determine a measured x-coordinate and a measured y-coordinate of the lesion along the X and Y axes, respectively, analyzing the examination images to determine a calculated z-coordinate along the Z axis of the lesion, and determining the location of the lesion based on the measured x-coordinate and the measured y-coordinate from the biopsy image and the calculated z-coordinate determined from the one or more examination images.

Abstract: Embodiments of the present application provide a magnetic resonance system and a shimming method and an imaging method thereof. The shimming method comprises: performing a scout scan on a subject to be examined, and obtaining phase data of a plurality of slice positions; determining three-dimensional space static magnetic field information according to the phase data of the plurality of slice positions; and determining a shimming value of a slice in a region of interest according to the three-dimensional space static magnetic field information.

Abstract: In the present invention, a right leg drive RLD monitoring system is employed on a medical computing system/computer, such as an ECG, HEMO and/or EP monitoring, mapping and/or recording system, that includes a number of RLD circuits to be utilized for different procedures or monitoring states to be performed using the system. The RLD monitoring system operates to actively monitor and/or record the feedback voltage to the RLD isolated from the patient. Using the measured feedback voltage data, the RLD monitoring system can identify and determine if the RLD circuit in use is approaching saturation, has reached saturation and the duration the RLD circuit was in saturation. The RLD monitoring system can concurrently and/or subsequently select and/or provide selection information regarding an optimal RLD circuit to be utilized to most effectively perform the desired function of the RLD in the procedure being performed using the monitoring, mapping and/or recording system.

Abstract: Methods and systems are provided for adaptive scan control. In one embodiment, a method for an imaging system includes performing, with the imaging system, a first contrast scan of a subject including injection of a contrast agent to the subject; processing projection data of the subject acquired during the first contrast scan to measure a contrast signal of the subject at a monitoring area; estimating a target acquisition timing for a first acquisition of a second contrast scan of the subject based on the contrast signal; and performing, with the imaging system, the second contrast scan of the subject, with the first acquisition performed at the target acquisition timing and without performing any monitoring scans between the first contrast scan and the second contrast scan.

Abstract: A method of manufacturing a lead assembly of a cryogenic system is provided. The method includes developing a three-dimensional (3D) model of a heat exchanger. The heat exchanger includes a plurality of channels extending longitudinally through the heat exchanger from the first end to the second end, the plurality of channels forming a plurality of thermal surfaces within the heat exchanger, the heat exchanger having a transverse cross section. The method further includes modifying the 3D model by at least one of reducing an area of the cross section and increasing the plurality of thermal surfaces. The method also includes additively manufacturing the heat exchanger using an electrically-conductive and thermally-conductive material according to the modified 3D model. Further, the method includes providing a high temperature superconductor (HTS) assembly that includes an HTS strip, and connecting the HTS assembly to the heat exchanger at the second end of the heat exchanger.

Abstract: A connector for connecting with an absorber canister includes a first connection port for detachably communicating with an input port of the absorber canister; a second connection port for detachably communicating with an output port of the absorber canister; and a seal. The seal being sleeved on a sidewall of at least one connection port of the first connection port and the second connection port, and the seal including: an annular ring positioned on an outer sidewall of the at least one connection port; a guide chamfer portion, the guide chamfer portion being annular and extending obliquely from a bottom of the annular ring towards an interior of the at least one connection port; and a lip, the lip being annular and extending from an end portion of the guide chamfer portion in a direction towards or away from the annular ring.

Abstract: A method for making a container for retaining anesthetic agent. The method includes creating two or more parts each having a mating surface, where the container is formed when the mating surfaces of the two or more parts are coupled together, and where a first part of the two or more parts is formed of a material having pores defined within the mating surface thereof. The method further includes processing the mating surface of the first part via friction stir welding to reduce the pores defined therein. The method further includes coupling the two or more parts together such that the mating surfaces contact to create the container configured to retain the anesthetic agent therein.

Abstract: This disclosure proposes to speed up computation time of a convolutional neural network (CNN) by leveraging information specific to a pre-defined region, such as a breast in mammography and tomosynthesis data. In an exemplary embodiment, a method for an image processing system is provided, comprising, generating an output of a trained convolutional neural network (CNN) of the image processing system based on an input image, including a pre-defined region of the input image as an additional input into at least one of a convolutional layer and a fully connected layer of the CNN to limit computations to input image data inside the pre-defined region; and storing the output and/or displaying the output on a display device.

Abstract: Systems and methods are provided for simulating medical images based on previously acquired data and a defined imaging protocol. In an example, a method includes generating a simulated medical image of a patient via virtual imaging based on previously obtained medical images and a scan intent of the virtual imaging, and outputting an imaging protocol based on a virtual protocol of the virtual imaging.

Abstract: A magnetic resonance (MR) imaging acceleration method is provided. The method includes applying, by an MR system, a pulse sequence having a k-space trajectory of a plurality of blades being rotated in k-space, each blade including a plurality of views, wherein the k-space trajectory has an undersampling pattern in the k-space. The method also includes receiving k-space data of a subject acquired by the pulse sequence, reconstructing MR images of the subject based on the k-space data using compressed sensing, and outputting the reconstructed images.

Abstract: Techniques are described for performing active surveillance and learning for machine learning (ML) model authoring and deployment workflows. In an embodiment, a method comprises applying, by a system comprising a processor, a primary ML model trained on a training dataset to data samples excluded from the training dataset to generate inferences based on the data samples. The method further comprises employing, by the system, one or more active surveillance techniques to regulate performance of the primary ML model in association with the applying, wherein the one or more active surveillance techniques comprise at least one of, performing a model scope evaluation of the primary ML model relative to the data samples or using a domain adapted version of the primary ML model to generate the inferences.

Abstract: Methods and systems are provided for an oxygen sensor included in a medical gas flow device, such as an anesthesia machine. In one embodiment, a method for a medical gas flow device comprises tracking an output voltage of an oxygen sensor during calibration over time, and, responsive to the output voltage decreasing by at least threshold amount from an initial calibration output voltage, estimating an end-of-life date of the oxygen sensor and outputting a replacement notification.

Abstract: The present disclosure relates to a method, a system, and a storage medium for segmenting a lung image. The method for segmenting a lung image comprises: obtaining medical image data containing a lung region; performing lung lobe segmentation on the medical image data to generate a plurality of lung lobe data subsets; generating updated lung image data based on one or a plurality of lung lobe data subsets in the plurality of lung lobe data subsets; and performing nidus segmentation on the updated lung image data to generate a segmentation image that identifies a pneumonia nidus.

Abstract: A superconducting magnet system having two-stage quenching. A primary coil assembly includes a coil section configured to be superconducting when conducting current below a first critical current. An EMI shielding coil assembly includes a coil section configured to be superconducting when conducting current below a second critical current, which is electrically coupled to a variable resistor configured to be superconducting when conducting current below a third critical current and to be non-superconducting when conducting current at or above the third critical current that is less than both the first and second critical currents. Generating a magnetic flux within the EMI shielding coil assembly causes the current conducted through the variable resistor to exceed the third critical current, quenching the variable resistor and generating heat. The EMI shielding coil assembly is disposed such that the heat from the variable resistor quenches the primary coil assembly.

Abstract: Systems and techniques that facilitate hybrid unsupervised and supervised image segmentation are provided. In various embodiments, a system can access a computed tomography (CT) image depicting an anatomical structure. In various aspects, the system can generate, via an unsupervised modeling technique, at least one class probability mask of the anatomical structure based on the CT image. In various instances, the system can generate, via a deep-learning model, an image segmentation based on the CT image and based on the at least one class probability mask.

Abstract: Techniques are described for improving the efficiency of collaboration session synchronization between applications, particularly applications that consume heavy application data. In an embodiment, a computer-implemented method comprises employing, by an application server operatively coupled to a processor, a context management server to manage synchronization of usage context information between a first client device and one or more second client devices related to simultaneous usage of an application provided by the application server during a collaboration session established between the first client device and the one or more second client devices. The method further comprises managing, by the application server, synchronization and exchange of application data between the first client device and the one or more second client devices during the collaboration session without sharing the application data with the context management server.