Static real-time CT imaging system and imaging method adapted to the requirements of large field of view

Abstract

A static real-time CT imaging system and its imaging method that meet the requirements of large field of view. The static real-time CT imaging system includes a multi-focus annular X-ray source (21) and an annular photon detector (22); wherein the multi-focus annular X-ray source (21) is composed of a plurality of scanning X-ray sources arranged in a ring, and the ring The photon counting detector (22) is composed of multiple photon counting detector modules arranged in a ring; each scanning X-ray source emits wide-beam X-rays in turn, and after passing through the measured object, it is projected onto the corresponding photon counting detector module. In the group, the scanning X-ray source and the corresponding photon counting detector module adopt a non-reverse geometric imaging method; each photon counting detector module works in an overlapping manner, and sends the corresponding exposure information into the data acquisition process The real-time reconstruction and visual reproduction of the image is completed in the data acquisition and processing unit.

Description

Technical field [0001] The present invention relates to a static real-time CT imaging system adapted to the requirements of a large field of view, and also relates to a method of realizing real-time imaging based on the CT imaging system, which belongs to the field of medical imaging technology. Background [0002] CT (Computed Tomography) is short for Electronic Computed Tomography Technology. Its imaging principle is as follows: the use of X-ray beams and extremely sensitive X-ray detectors around a certain part of the human body layer by layer of cross-sectional scanning, by the X-ray detector on the scintillation material received through the X-ray at this level, into visible light, from the photoelectric converter into an electrical signal, amplified and then converted to digital signal by analog / digital conversion, input computer processing. In a computer, the selected layer is divided into cubes of the same volume, called voxels. After the information obtained by the la...

AI Technical Summary

Problems solved by technology

In cone-beam CT detection, due to the limitation of the X-ray source cone angle and the size of the flat-panel detector, it is often encountered that the size of the object to be inspected exceeds the cone-beam CT imaging field of view (Field Of View, abbreviated as FOV). In this case, conventional scanning methods and reconstruction algorithms cannot scan and reconstruct the entire inspected object well.

If the method of scanning and reconstructing the object in multiple blocks is used, the projection data corresponding to each block of data will be truncated in the vertical or horizontal direction, and the usual CT reconstruction algorithm, such as requiring the object to be inspected to be completely covered by X-rays , the reconstruction effect in the presence of projection truncation is not ideal

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