Described embodiments include a system that includes a display and a processor. The processor is configured to modify an image that includes a representation of a wall of an anatomical cavity, by overlaying an icon that represents an intrabody tool on a portion of the image that corresponds to a location of the intrabody tool within the anatomical cavity, and overlaying a marker on a portion of the representation of the wall that corresponds to a location at which the intrabody tool would meet the wall, were the intrabody tool to continue moving toward the wall in a direction in which the intrabody tool is pointing. The processor is further configured to display the modified image on the display. Other embodiments are also described.

Systems and methods are provided for a deep learning-based digital breast tomosynthesis (DBT) image reconstruction that mitigates limited angular artifacts and improves in-depth resolution of the resulting images. The systems and methods may reduce the sparse-view artifacts in DBT via deep learning without losing image sharpness and contrast. A deep neural network may be trained in a way to reduce training-time computational cost. An ROI loss method may be used for further improvement on the resolution and contrast of the images.

The present disclosure relates, in part, to a scanning sufficiency apparatus that computes whether a handheld scanning device has scanned a volume for a sufficiently long time for there to be detections and then indicate to the user that the time is sufficient in 3-D rendered voxels. Also described is a hand held medical navigation apparatus with system and methods to map targets inside a patient's body.

An X-ray diagnostic apparatus according to an embodiment includes processing circuitry configured to improve quality of fourth data corresponding to a fourth number of views that is smaller than a first number of views by inputting the fourth data to a learned model generated by performing machine learning with second data corresponding to a second number of views as input learning data, and third data corresponding to a third number of views that is larger than the second number of views as output learning data, the second data and the third data being acquired based on first data corresponding to the first number of views. The fourth data is data acquired by tomosynthesis imaging.

A mobile radiography apparatus has radio-opaque markers, each marker coupled to a portion of the mobile radiography apparatus, wherein each of the markers is in a radiation path that extends from an x-ray source or x-ray sources. A detector is mechanically uncoupled from the x-ray source or x-ray sources for positioning behind a patient. Processing logic is configured to calculate a detector position with relation to the x-ray source or x-ray sources according to identified marker positions in acquired projection images, and to reconstruct a volume image according to the acquired projection images.

X-ray backscatter imaging (XBI) methods and systems are provided that enable depth-sensitive information to be obtained from images acquired during a single scan from a single side of an object being imaged. The depth-sensitive information is used in combination with other image information acquired during the scan to produce high-resolution 2-D or 3-D images, where at least one of the dimensions of the 2-D or 3-D image corresponds to depth in the object.

Systems and methods are provided for registering images. The systems and methods perform operations comprising: receiving, at a first time point in a given radiation session, a first imaging slice corresponding to a first plane; encoding the first imaging slice to a lower dimensional representation; applying a trained machine learning model to the encoded first imaging slice to estimate an encoded version of a second imaging slice corresponding to a second plane at the first time point to provide a pair of imaging slices for the first time point; simultaneously spatially registering the pair of imaging slices to a volumetric image, received prior to the given radiation session, comprising a time-varying object to calculate displacement of the object; and generating an updated therapy protocol to control delivery of a therapy beam based on the calculated displacement of the object.

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.

This disclosure relates to an intraoperative localisation system for total joint replacement of a joint of a patient by a surgeon, the joint being associated with a bone. The localisation system comprises: an X-ray imaging device to create a digital X-ray image of the joint and a localisation object during a total joint replacement surgery; a computer system configured to: store a surgical plan comprising a digital three-dimensional model; receive the digital X-ray image of the joint and the localisation object during the total joint replacement surgery; determine a pose of the localisation object relative to the bone or the joint, based on the digital X-ray image; assess the pose of the localisation object against the surgical plan; and provide an indication of a clinical consequence of the pose in relation to the surgical plan to the surgeon.

This disclosure relates to an intraoperative guidance system. The guidance system comprises: an X-ray imaging device to create a two-dimensional digital image of a joint and an implant component; and a computer system configured to: store an initial three-dimensional model of the joint and the implant component; receive two or more two-dimensional digital images of the joint and the implant component; create a digital three-dimensional model of the joint and the implant component based on the two or more two-dimensional digital images; perform registration between the digital three-dimensional model and the initial three-dimensional model to determine a placement of the implant component; determine an intraoperative simulated performance metric by simulating movement of the digital three-dimensional model based on the placement; and provide an indication to a surgeon of the intraoperative simulated performance metric as an assessment of a current placement of the implant component.