An X-ray imaging system using multiple puked X-ray sources to perform highly efficient and ultrafast 3D radiography is presented. There are multiple puked 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.

A radiation detector has a sensor panel unit which includes two sensor panels and in which end portions of the two sensor panels are arranged to overlap each other in a thickness direction. An image processing unit acquires two projection images from the two sensor panels. A combination unit of the image processing unit performs a process related to image quality on the projection image in a case in which a tomographic image which is a diagnosis image to be used for a doctor's diagnosis is generated and does not perform the process related to image quality on the projection image in a case in which a scout image which is a confirmation image for confirming a reflected state of the subject is generated.

A setting device comprising: at least one processor, wherein the processor is configured to: acquire imaging part information indicating an imaging part of a subject whose radiographic image is captured by radiation emitted from a radiation emitting device; and derive, in a case in which body thickness information indicating a body thickness of the subject in a direction in which the radiation is transmitted is acquired from a detector that comes into contact with the subject and detects the body thickness, imaging conditions corresponding to the body thickness indicated by the body thickness information and the imaging part indicated by the imaging part information and set the imaging conditions in the radiation emitting device.

A method and apparatus is provided that uses a deep learning (DL) network together with a multi-resolution detector to perform X-ray projection imaging to provide improved resolution similar to a single-resolution detector but at lower cost and less demand on the communication bandwidth between the rotating and stationary parts of an X-ray gantry. The DL network is trained using a training dataset that includes input data and target data. The input data includes projection data acquired using a multi-resolution detector, and the target data includes projection data acquired using a single-resolution, high-resolution detector. Thus, the DL network is trained to improve the resolution of projection data acquired using a multi-resolution detector. Further, the DL network is can be trained to additional correct other aspects of the projection data (e.g., noise and artifacts).

Methods and systems are provided for adaptive scan control. In one embodiment, a method includes upon a first contrast injection, processing acquired projection data of a subject to measure a contrast signal of the first contrast injection, estimating a time when a venous return to baseline (VRTB) of the first contrast injection is to occur based on the contrast signal, and commanding initiation of a second contrast injection at the estimated time.

Various methods and systems are provided for wirelessly charging a digital x-ray detector of an x-ray imaging system in at least two orientations. In one example, a method comprises: detecting a digital x-ray detector in a charging area of an x-ray system, the charging area including a first power source; pairing the digital x-ray detector to the x-ray system via a wireless connection with the x-ray system; and wirelessly charging the digital x-ray detector via the first power source.

A radiation detector includes a sensor substrate, a conversion layer, and a reinforcing substrate. In the sensor substrate, a plurality of pixels for accumulating electric charges generated in response to light converted from radiation are formed on a pixel region of a flexible base material. The conversion layer is provided on a first surface of the base material on which the pixels are provided and converts radiation into light. The reinforcing substrate is provided on a surface of the conversion layer opposite to a surface on the base material side and includes a porous layer having a plurality of through-holes to reinforce the stiffness of the base material.

A radiation detecting device including: a radiation detector that includes a board having a flexibility and a semiconductor element formed on an imaging surface of the board; a supporter that supports the radiation detector; a housing that includes a front part facing the imaging surface and a rear part facing the front part across the radiation detector and that houses the radiation detector; and a cushion that is provided at least one of between the supporter and the radiation detector and between the supporter and the rear part.

The radiation detector includes a sensor substrate and a reinforcing substrate. In the s sensor substrate, a plurality of pixels for accumulating electric charges generated in response to radiation is formed in a pixel region of a first surface of a flexible base material. The reinforcing substrate is provided on at least one of the first surface side of the base material or a second surface side opposite to the first surface, includes the foamed body layer, and reinforces the stiffness of the base material.

The application provides a three-dimensionally heterogeneous PET system comprising at least two heterogeneous detector modules, each comprising at least two kinds of crystal strips closely arranged to form different detection performances levels for different kinds of crystal strips and same detection performances levels for same kind of crystal strips. Parameters of detection performances of crystal strips comprise energy resolution, density, size and light output, wherein different detection performances levels for crystal strips comprise one or more of parameters of detection performances of crystal strips being in different levels. Compared with a high spatial resolution PET system, the application effectively reduces manufacturing costs of a PET system without significantly reducing spatial resolution thereof. Compared with an ordinary spatial resolution PET system, it improves spatial resolution of a PET system by slightly increasing its cost, and can also provide imaging field of view with high spatial resolution in radial direction.