CT projection denoising reconstruction method and device based on noise generation mechanism and data driving tight frame

Abstract

The invention belongs to the technical field of CT image reconstruction, and particularly relates to a CT projection denoising reconstruction method and device based on a noise generation mechanism and a data driving tight frame, and the method comprises the steps: firstly describing the noise statistical characteristics of projection data, and mining sparse prior information of the projection data; establishing a maximum posterior probability model by combining the two data; carrying out iterative solution on the model to obtain denoised sine map data; and acquiring CT image by reconstruction. According to the method, the problem that serious noise and artifacts are easily remained in a reconstructed image due to the fact that noise of projection data is depicted in an approximation modein a traditional low-dose CT reconstruction algorithm is solved; noise can be removed while useful information of projection data is reserved as much as possible, noise and artifacts of a reconstructed image are effectively restrained, and the method has high application value in the aspect of improving the quality of a low-dose CT reconstructed image.

Description

technical field [0001] The invention belongs to the technical field of CT image reconstruction, in particular to a CT projection denoising reconstruction method and device based on a noise generation mechanism and a data-driven tight framework. Background technique [0002] Computed Tomography (CT) uses the transmission information of X-rays penetrating objects, and calculates the distribution of internal attenuation characteristics of objects through reconstruction algorithms. As one of the greatest scientific and technological achievements in the late 20th century, CT technology can efficiently obtain internal structure information of objects through non-contact and non-destructive methods. In 1972, the first CT equipment was successfully developed by engineer Hounsfield, and then achieved rapid development in the medical field, setting off a revolution in clinical disease diagnosis. CT can provide clear and accurate structural images of patients, which is helpful for doc...

AI Technical Summary

Problems solved by technology

However, when the tube current is reduced, because the number of photons received by the detector is greatly reduced, the acquired projections are often seriously polluted by photon statistical noise and thermal noise of the detection system, which is the essential reason for the serious decline in CT image quality

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