CT image reconstruction method based on non-cylindrical detector and CT scanner

Abstract

The invention belongs to the technical field of medical images, and particularly relates to a CT image reconstruction method based on a non-cylindrical detector and a CT scanner. The CT image reconstruction method comprises the following steps: S1, converting non-cylindrical data acquired by a non-cylindrical detector into cylindrical data corresponding to the cylindrical detector by adopting a data interpolation method; S2, performing CT image reconstruction according to the cylindrical data corresponding to the cylindrical coordinate system. According to the CT image reconstruction method, for the non-cylindrical detector, the data interpolation method is adopted to convert the non-cylindrical data collected by the non-cylindrical detector into the cylindrical data corresponding to the cylindrical detector, and it can be guaranteed that the obtained sampling points are close to the sampling points of the non-cylindrical detector as much as possible; and the loss of spatial resolution and the increase of aliasing artifacts are reduced.

Description

technical field [0001] The invention belongs to the technical field of medical imaging, and in particular relates to a CT image reconstruction method based on a non-cylindrical detector and a CT scanner. Background technique [0002] The main components of the third-generation CT system include Tube (ball tube), Collimator (beam limiter) and Detector (detector). The tube emits X-rays, which are limited by the beam limiter to form a cone-shaped beam. The cone-shaped beam is irradiated on the detector, which is converted into an electrical signal by the detector and converted into digital information by the data acquisition and conversion unit and stored in the image processing system. , the image processing system generates images through a series of correction algorithms and image reconstruction algorithms, and displays them on the monitor. In terms of cost and technology maturity, the mainstream detectors use a number of detector modules arranged on an arc or polygonal sur...

AI Technical Summary

Problems solved by technology

These detectors are complex in shape, and all belong to non-cylindrical detectors, and their shapes are mostly close to spherical detectors or other extended shapes, such as the detectors composed of multiple spherical surfaces disclosed in US Patent Document No. US10492746, and there are multiple rows of detectors in the center. It is a cylindrical detector and the periphery is a spherical or near-spherical detector; a common feature of them is that the angle of each pixel in the channel direction and the Z direction is uneven; the complexity of the distribution results in the complexity of the reconstruction algorithm

[0005] However, the existing standard 3D reconstruction algorithms are all based on cylindrical detectors; the geometric distribution of non-cylindrical detectors is relatively complex, and it is very difficult to reconstruct directly from them

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