Systems and methods for fully automated anatomical analysis of an anatomical structure are provided to facilitate pre-operative planning. The computerized method may include obtaining a plurality of images, e.g., MSCT images, of patient-specific cardiovascular anatomy, and analyzing the MSCT images with a trained artificial intelligence module to identify one or more anatomical landmarks and to construct a virtual three-dimensional model of the anatomical structure. For example, the trained artificial intelligence module may execute segmentation, point detection, curve detection, or plane detection deep learning modules, independently or in combination, to identify the anatomical landmarks. The method further may include deriving anatomical measurements of the one or more identified anatomical landmarks, and displaying the virtual three-dimensional model alongside the anatomical measurements of the one or more identified anatomical landmarks.

A computer-implemented method is provided for improving live video quality. The method comprises: (a) acquiring, using a medical imaging apparatus, a stream of consecutive image frames of a subject; (b) feeding the stream of consecutive image frames to a first set of denoising components, wherein each of the first set of denoising components is configured to denoise an image frame from the stream of consecutive image frames in a spatial domain to output an intermediate image frame; (c) feeding a plurality of the intermediate image frames to a second denoising component, wherein the second denoising component is configured to (i) denoise the plurality of the intermediate image frames in a temporal domain and (ii) generate a weight map; and outputting a final image frame with improved quality in both temporal domain and spatial domain based at least in part on the weight map.

A device may receive an X-ray image captured by a C-arm CBCT device at a particular position defined by a six-degree of freedom pose relative to an anatomy, and may process the X-ray image, with a machine learning model, to determine a predicted quality of next possible X-ray images provided by the C-arm CBCT device. The device may utilize the machine learning model, to identify a particular X-ray image, of the next possible X-ray images, with a greatest predicted quality and to update the six-degree of freedom pose based on the particular X-ray image. The device may provide, to the C-arm CBCT device, data that identifies the updated six-degree of freedom pose to cause the C-arm CBCT device to adjust to a new position based on the updated six-degree of freedom pose.

A mobile radiographic imaging apparatus that performs dynamic imaging by using radiation, includes a detector, a wireless communication interface, and a hardware processor. The detector detects a first wireless access point and a second wireless access point. The wireless communication interface connects to the first wireless access point as a connection point and outputs a dynamic image including a plurality of frames acquired in the dynamic imaging to the first wireless access point. The hardware processor controls a change of the connection point from the first wireless access point to the second wireless access point. The hardware processor further performs control to inhibit the change of the connection point in a period when the frame images are still being output to the first wireless access point.

A radiation imaging system comprising a radiation imaging apparatus configured to detect radiation emitted from a radiation source, an irradiation control apparatus configured to control the radiation source, a communication control apparatus configured to perform communication between the radiation imaging apparatus and the irradiation control apparatus, and a controller, is provided. The radiation imaging apparatus is configured to communicate with the communication control apparatus in accordance with a setting selected from a plurality of settings by the controller. The controller acquires a communication time for a predetermined communication amount between the radiation imaging apparatus and the communication control apparatus, and switches, in accordance with the communication time, the setting for communication of the radiation imaging apparatus with the communication control apparatus from a currently selected setting to another setting among the plurality of settings.

A medical scan assisted review system is operable to receive, via a network, a medical scan for review. Abnormality data is generated by identifying a plurality of abnormalities in the medical scan by utilizing a computer vision model that is trained on a plurality of training medical scans. The abnormality data includes location data and classification data for each of the plurality of abnormalities. Text describing each of the plurality of abnormalities is generated based on the abnormality data. The abnormality data and the text is transmitted to a client device. A display device associated with the client device displays the abnormality data in conjunction with the medical scan via an interactive interface, and the display device further displays the text via the interactive interface.

A radiation imaging system includes a setting information storage that stores setting information to be used for radiation imaging, a setting information backup unit configured to back up the setting information stored in the setting information storage, and an operation control unit configured to restore, in a case the setting information storage has failed, the setting information in the setting information storage based on the setting information backed up in the setting information backup unit.

A display control unit displays, on a display unit, at least some of a plurality of images included in each of a plurality of image sets of the same object which have been captured at different imaging dates and times and each of which consists of the plurality of images including at least a plurality of tomographic images acquired by performing tomosynthesis imaging for the object. A setting unit sets at least one past image set, which was acquired at an imaging date and time before the latest imaging date and time and includes images at least some of which have been displayed, among the plurality of image sets as having been displayed.

A signal processing circuit includes a detection unit configured to detect generation of a peak in an analog signal based on an input of a photon, an A/D conversion unit configured to perform A/D conversion of a signal value into digital data of bits by determining a value of each of the bits from an upper bit to a lower bit, and a control unit configured to control the A/D conversion unit so that, in a case in which the generation of a second peak of the analog signal is detected during the A/D conversion of a signal value of a first peak of the analog signal, the A/D conversion of the signal value of the first peak will be interrupted and the A/D conversion of a signal value of the second peak will be started.

Improved systems and devices for medical imaging distribution are provided. A medical imaging order may be received from a medical facility that includes medical imaging. A configuration may be selected and applied based on a body site and an urgency field associated with the order that defines queueing rules for the medical imaging order. Utilization factors for queues associated with radiologists may also be determined. The configuration and the utilization factors may be used to determine a subset of queues associated with a subset of radiologists. The subset of queues may be prioritized based on certain requirements, such as how many medical imaging reports a particular radiologist is required to review, how many medical imaging reports are required to be allocated to a particular radiologist, and the like. The highest prioritized queue may be selected and the medical imaging order may be transmitted to the radiologist associated with that queue.