Abstract: There is provided a computed tomography imaging system including a gantry including a rotating member on a rotating side, a stationary member on a stationary side, and a data communication system. The rotating member on the rotating side includes an X-ray source configured to emit X-rays, an X-ray detector configured to generate detector data, a data storage unit configured to store the detector data, and processing circuitry configured to process at least part of the stored detector data to generate a processed data set. The stationary member on the stationary side is communicatively coupled to the rotating member on the rotating side, and the data communication system is configured to transfer the processed data set from the rotating member on the rotating side to the stationary member on the stationary side.

Abstract: Various methods and systems are provided for a transducer for a deployable catheter. In one example, a method for forming the transducer includes coupling an acoustic stack to a shape memory material while in a planar configuration to form a transducer and exposing the shape memory material to a curling stimulus to adjust the transducer to a curved configuration.

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 conditional scanning of a wireless network by a wireless monitoring system. The method for the wireless monitoring system comprises performing a scan of a wireless network in a first order to identify a plurality of access points (APs), reordering the plurality of APs to form a reordered group of APs based on a received signal strength indicator (RSSI) of each AP of the plurality of APs, and scanning the reordered group in a second order different than the first order to identify a candidate AP of the reordered group to roam to.

Abstract: Various methods and systems are provided for real-time image segmentation of medical image data. In one example, the real-time image segmentation of the medical image data may include updating an initial segmentation of the medical image data in real-time. The update may be based on a user input to a regularization brush applied to the medical image data, the user input to the regularization brush allowing modification of a volume of the initial segmentation.

Abstract: Methods and systems are provided for identifying motion in medical images. In one example, a method includes obtaining projection data of an imaging subject, reconstructing a first image of a location of the imaging subject from the projection data using a first reconstruction technique and reconstructing a second image corresponding to the same location of the imaging subject from the of projection data using a second reconstruction technique, different than the first reconstruction technique in terms of temporal sensitivity, calculating an inconsistency metric quantifying temporal inconsistencies between the first image and the second image, and taking an action based on the inconsistency metric.

Abstract: A method for preventing a collision between a first object and a second object using a camera. The method includes capturing images of the first object and the second object using the camera, accessing a database of point clouds, and identify a first point cloud corresponding to the first object and a second point cloud corresponding to the second object within the database of point clouds, where the first point cloud corresponds to the first object being a person. The method further includes calculating a distance between the first object and the second object and comparing the distance to a threshold. The method further includes generating a notification when the distance is below the threshold.

Abstract: A system and method is provided for obtaining ultrasound images of an interior of an object that includes an image processing unit that receives and processes acquired ultrasound scan data to create ultrasound images derived from ultrasound image data, a motion detection system configured to detect a pattern of inactivity time frames within movement cycles of the object and an ultrasound imaging probe operably connected to the image processing unit to acquire the ultrasound scan data for use by the image processing unit to form the ultrasound images. The motion detection system detects a pattern of one or more inactivity time frames within a first cycle of movement of the object, obtains ultrasound volumetric scan data of the object during the inactivity time frame within a second cycle of movement of the object, and calibrates a location of a scan plane of the ultrasound image within the volumetric ultrasound image.

Abstract: Methods and systems are provided for automatically diagnosing a patient based on a reduced lead electrocardiogram (ECG), using one or more deep neural networks. In one embodiment, a method for automatically diagnosing a patient using a reduced lead ECG comprises, acquiring reduced lead ECG data, wherein the reduced lead ECG data comprises less than twelve lead signals, determining a type of each of the less than twelve lead signals, selecting a deep neural network based on the type of each of the less than twelve lead signals, and mapping the less than twelve lead signals to a diagnosis using the deep neural network. In this way, reduced lead ECG data may be mapped to a diagnosis using an intelligently selected deep neural network, wherein the deep neural network was trained on reduced lead ECG data comprising a same set of ECG lead types as the acquired reduced lead ECG data.

Abstract: To set parameters according to a body part of interest serving as a target for producing a color Doppler image, a processor in an ultrasonic image display system identifies a body part of interest serving as a target for producing a color Doppler image of a patient based on data for a B-mode image, and determines parameters regarding acquisition of data for the color Doppler image according to the body part of interest. The processor then controls an ultrasonic probe to perform a color Doppler scan for a color Doppler image on the patient using the determined parameters, and creates data for a color Doppler image based on echo data obtained by the color Doppler scan.

Abstract: Provided in the present application are a method and a device for extracting a blood vessel wall, a medical imaging system, and a non-transitory computer-readable storage medium. The method for extracting a blood vessel wall comprises acquiring a medical image, determining at least one first-order feature in the medical image, and extracting, on the basis of the at least one first-order feature, a blood vessel wall image from the medical image.

Abstract: A convolutional neural network (CNN) is employed in an automated feature and/or anomaly detection system for analyzing images provided by X-ray imaging system. The automated detection system operates in a manner that reduces the number of full-resolution CNN convolution layers required in order to speed up the network inference and learning processes for the detection system. To do so, the detection system utilizes as an input a more compact representation of the tomographic data to alleviate the CNN memory footprint and computation time issues in prior art X-ray systems.

Abstract: Techniques for orchestrating execution of algorithms on medical images according to pre-defined workflows and techniques for managing workflow and model execution are provided. In an embodiment, a system comprises a memory that stores computer executable components and a processor that executes the computer executable components stored in the memory.

Abstract: Various methods and systems are provided for a cathode of an X-ray imaging system. A method for fabricating the cathode comprises machining a plurality of focusing features on a focusing element and welding the focusing element to a base assembly.

Abstract: A computer-implemented method includes obtaining positron emission tomography (PET) data of moving tissue of interest acquired over a plurality of motion cycles of the tissue of interest. The computer-implemented method further includes generating a set of short PET frames from the PET data based on a predetermined time duration, which is less than a period of the plurality motion cycles. The computer-implemented method further includes identifying the tissue of interest in each short PET frame in the set of short PET frames. The computer-implemented method further includes estimating a motion of the identified tissue of interest in each of the short PET frames. The computer-implemented method further includes characterizing the motion of the tissue of interest over the plurality of motion cycles based on the estimated motion of the identified tissue of interest in each of the short PET frames.

Abstract: A computer-implemented method includes obtaining positron emission tomography (PET) data that includes moving tissue of interest and generating a set of short PET frames from the PET data, wherein each short PET frame of the set of short PET frames is based on a time duration. The computer-implemented method further includes identifying a first tissue of interest in the set of short PET frames and identifying at least a second tissue of interest in the set of short PET frames. The computer-implemented method further includes estimating, separately and independently, a first motion of the first tissue of interest and a second motion of second tissue of interest based on the short PET frames and motion correcting, separately and independently, the first tissue of interest for the first motion and the second tissue of interest for the second motion.

Abstract: Systems/techniques that facilitate customized exceptions for intelligent protocoling are provided. In various embodiments, a system can access a data candidate associated with a medical patient. In various aspects, the system can execute a trained machine learning model on the data candidate, thereby identifying a first medical imaging protocol to be performed by a medical imaging scanner on the medical patient. In various instances, the system can determine whether the data candidate triggers a conditional protocol exception, wherein the conditional protocol exception identifies a second medical imaging protocol that is to be implemented when a condition is satisfied by the data candidate. In various cases, the system can, in response to determining that the data candidate satisfies the condition, select the second medical imaging protocol to be performed by the medical imaging scanner on the medical patient instead of selecting the first medical imaging protocol.