A system (SYS) and related method for motion artifact reduction in X-ray imaging. The system (SYS) comprises an input interface (IN) for receiving a first input image (i1, I1) of an object (PAT) reconstructed from a first set of projection data, and a second input image (i2, I2) of the object reconstructed from a second set of projection data. The second set is smaller than the first set. A motion analyzer (MA) establishes an estimate for motion corruption based on the two input images. A selective combiner (Σ) computes an image value for an enhanced image (I1+I2, i1+i2), based on the motion estimate and on image information in the first input image (i1, I1) and/or the second input image (i2, I2).

An x-ray imaging apparatus and associated methods are provided to execute multi-pass imaging scans for improved quality and workflow. An imaging scan can be segmented into multiple passes that are faster than the full imaging scan. Data received by an initial scan pass can be utilized early in the workflow and of sufficient quality for treatment setup, including while the another scan pass is executed to generate data needed for higher quality images, which may be needed for treatment planning. In one embodiment, a data acquisition and reconstruction technique is used when the detector is offset in the channel and/or axial direction for a large FOV during multiple passes.

A C-Arm X-ray imaging system using multiple pulsed X-ray sources in motion to perform efficient and ultrafast 3D radiography is presented. X-ray sources mounted on a structure in motion to form an array. X-ray sources move simultaneously relative to an object on a pre-defined arc track at a constant speed as a group. Each individual source can also move rapidly around its static position in a small distance. When a source has a speed that is equal to group speed but with opposite moving direction, the source at one C-arm end and X-ray flat panel detector at other C-arm end are activated through an external exposure control unit so that source stay momentarily standstill. The C-arm provides 3D X-ray scan imaging over a wide sweep angle and in different position by rotation. The X-ray image can be analyzed by an artificial intelligence module for real-time diagnosis.

An X-ray imaging system using multiple pulsed X-ray sources to perform highly efficient and ultrafast 3D radiography is presented. There are multiple pulsed X-ray sources mounted on a structure in motion to form an array of sources. The multiple X-ray sources move simultaneously relative to an object on a pre-defined arc track at a constant speed as a group. Electron beam inside each individual X-ray tube is deflected by magnetic or electrical field to move focal spot a small distance. When focal spot of an X-ray tube beam has a speed that is equal to group speed but with opposite moving direction, the X-ray source and X-ray flat panel detector are activated through an external exposure control unit so that source tube stay momentarily standstill equivalently. 3D scan can cover much wider sweep angle in much shorter time and image analysis can also be done in real-time.

An X-ray imaging system using multiple pulsed X-ray sources in motion to perform high efficient and ultrafast 3D radiography using an X-ray flexible curved panel detector is presented. There are multiple pulsed X-ray sources mounted on a structure in motion to form an array of sources. The sources move simultaneously relative to an object on a predefined arc track at a constant speed as a group. Each individual X-ray source can move around its static position at a small distance. When an individual source has a speed equal to group speed, but with opposite moving direction, the individual source and detector are activated. This allows source to stay relatively standstill during activation. The operation results in reduced source travel distance for each individual source. 3D radiography image data can be acquired with much wider sweep angle in much shorter time, and image analysis can also be done in real-time.

A method for reconstructing target cardiac images is provided. The method may include: obtaining a plurality of projection data corresponding to a plurality of cardiac motion phases; determining a plurality of cardiac motion parameters corresponding to at least a portion of the plurality of cardiac motion phases based on the plurality of projection data; determining a phase of interest based on the plurality of cardiac motion parameters; and/or reconstructing the one or more target cardiac images of the phase of interest

A medical image display apparatus for displaying medical images of a lung on a screen includes a network interface receiving positional information of a navigation instrument from a position sensor of the navigation instrument, a video stream from an optical sensor of the navigation instrument, and medical images from an imaging device, a memory storing a plurality of medical images and instructions, a processor executing the instructions, and a display dynamically displaying images on the screen. The instructions, when executed by the processor, cause the medical image display apparatus to determine whether status information indicates a pathway reviewing mode, a target management mode, or a navigation mode. The instructions, when executed by the processor, further cause the display to dynamically select and update images, which are displayed on the screen, among the plurality of medical images based on the positional information of the navigation instrument and status information.

A method for controlling a medical device may be provided. The method may include obtaining, via one or more cameras, first data regarding a first motion of a subject in an examination space of the medical device. The method may include obtaining, via one or more radars, second data regarding a second motion of the subject. The method may further include generating, based on the first data and the second data, a control signal for controlling the medical device to scan at least a part of the subject.

An object of the present invention is to provide an analysis method capable of analyzing time-series images by a method simpler than ever. A computer program that is an application example of the present invention is a computer program for an image processing device including a storage unit that stores therein image data including time-series computed tomography (CT) images in a plurality of frames, of an organ of a subject captured after a contrast medium has been administered causes the image processing device to execute: a first step of determining a change-over-time of a CT value on the basis of image data including CT images in the plurality of frames; a second step of determining a predetermined slope that is a slope of the CT value with respect to a predetermined time on the basis of a change-over-time of the CT value determined in the first step; and a third step of approximating a change-over-time of the CT value with a predetermined function on the basis of the predetermined slope determined in the second step.

Devices, systems, and methods 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.