A radiography apparatus includes: an irradiation unit that emits radiation; an arm that holds the irradiation unit and an image receiving unit in a facing posture such that the image receiving unit is attachable and detachable; a connection portion or a main body portion that rotatably supports the arm; a first locking mechanism and a second locking mechanism that lock a rotation of the arm with respect to the connection portion or the main body portion; a photo sensor that detects whether or not the image receiving unit is detached from the arm; and a control unit that performs control not to release the lock even in a case in which an unlock operation for releasing the lock of the rotation by the first locking mechanism and the second locking mechanism is performed in a state in which the image receiving unit is detached from the arm.

The resent invention relates to a method of x-ray projection geometry calibration in x-ray cone beam computed tomography, the method comprising: at least one step (S1) of obtaining two-dimensional x-ray images (1) or a sinogram (2) of at least a part of an object (3), generated through relatively rotating around the object (3) a detector and an x-ray source projecting x-rays towards the detector; characterized by further comprising: at least one step (S4) of detecting in the two dimensional x-ray images (1) or the sinogram (2) at least one feature (3a) of the object (3) by using a trained artificial intelligence algorithm; and at least one step (S5) of creating, based on the detection, calibration information which defines the geometry of the x-ray projection.

The invention relates to a synchronization device for determining an instant of the respiratory cycle of a patient in order to assist a medical intervention on said patient. This device comprises: a locating device, a patient reference, intended to be positioned on the body of the patient, and comprising radio-opaque markers, at least one locating element configured to be detectable by the locating device, and an X-ray detector intended to cooperate with an X-ray imaging device, a control unit for recording and processing data from the locating device and the patient reference. The invention likewise relates to a method for determining an instant of the respiratory cycle of a patient in order to assist a medical intervention on said patient.

A method for improving the accuracy of a digital medical model of a part of a patient, the method includes obtaining a set of at least 2 medical images of the patient, where an element including a predefined geometry and/or predefined information was attached to the patient during the recording of the medical images; obtaining at least 2 tracking images taken with at least one camera having a known positional relationship relative to the medical imaging device, the tracking images depicting at least part of the element; determining any movement of the element between acquisition of the at least 2 tracking images; and generating the digital medical model from the acquired medical images, wherein the determined movement of the element is used to compensate for any movement of the patient between the acquisition of the medical images.

The present disclosure provides a method for correcting a resting blood flow velocity on the basis of an interval time between angiogram images, comprising: acquiring, in an angiography state, an average blood flow velocity V.sub.h from a coronary artery inlet to a distal end of a coronary artery stenosis (S100); acquiring a time difference Δt between start times of two adjacent bolus injections of contrast agent (S200); obtaining a correction coefficient K according to the time difference Δt (S300); obtaining a resting blood flow velocity V.sub.j according to the correction coefficient K and the average blood flow velocity V.sub.h (S400), as well as an apparatus configured for implementing the above method. The disclosure obtains the resting blood flow velocity V.sub.j according to the correction coefficient K and the average blood flow velocity V.sub.h.

Devices, systems, and methods for generating a medical image obtain scan data that were generated by scanning a scanned region, wherein the scan data include groups of scan data that were captured at respective angles; generate partial reconstructions of at least a part of the scanned region, wherein each partial reconstruction of the partial reconstructions is generated based on a respective one or more groups of the groups of scan data, and wherein a collective scanning range of the respective one or more groups is less than the angular scanning range; input the partial reconstructions into a machine-learning model, which generates one or more motion-compensated reconstructions of the at least part of the scanned region based on the partial reconstructions; calculate a respective edge entropy of each of the one or more motion-compensated reconstructions of the at least part of the scanned region; and adjust the machine-learning model based on the respective edge entropies.

During catheter-based angiography, the bone and soft tissues degrade visualization of the vasculature, which is of primary interest in such medical imaging procedures. The present disclosure includes systems and methods utilizing a trained neural network to remove the bone and soft tissue densities from post-contrast images, revealing isolated vascular densities, without the need for a standard pre-injection digital mask and in the setting of patient motion. The final angiographic images may be created in real-time. Systems and methods for the training and optimization of the disclosed neural network are also described.

According to one embodiment, a medical image processing apparatus includes processing circuitry. The processing circuitry specifies, before position alignment between a first X-ray image and a second X-ray image which is acquired with a device inserted, a device area candidate in the second X-ray image as a candidate of an area where the device appears. The processing circuitry performs the position alignment using first processing of removing the specified device area candidate or second processing of reducing a contribution of the specified device area candidate.

A method and apparatus for removing breathing motion artifacts in imaging CT scans is disclosed. The method acquires raw imaging data from a CT scanner, and processes the raw CT imaging data by removing motion-induced artifacts via a motion model. Processing the imaging data may be achieved by initially estimating a 3D image to provide an estimate of raw sinogram image data, comparing the estimate to an actual CT sinogram, determining a difference between the sinograms, and iteratively reconstructing the 3D image by using the difference to alter the 3D image until the sinograms agree, wherein the 3D image moves according to the motion model.

The method comprises receiving an image sequence of the subject from the camera during the medical imaging scan; receiving at least one of the current position or velocity of the patient table during the medical imaging scan; performing a motion tracking analysis of the image sequence to extract a motion model, wherein at least one of the motion tracking analysis or the motion model is tailored to the body region of interest and takes into account the at least one of the current patient table position or velocity; and analysing the motion model to detect subject motion and, if the detected motion is above a threshold, at least one of adapting the medical imaging examination or issuing an alert.