A CT image reconstruction method and system, terminal and readable storage medium

Abstract

The invention belongs to the medical and industrial CT (Computed Tomography) imaging technical field and relates to a CT (Computed Tomography) image reconstruction method, a CT (Computed Tomography) image reconstruction system, a terminal and a computer readable storage medium. According to the method, a traditional CT image reconstruction method is adopted to generate an original reconstructed image; artifact removal and noise optimization are performed on the original reconstructed image, part of detail structure data which are lost due to optimization are extracted; characteristic operatorsare obtained by using the optimized original reconstructed image; convolution is performed on the lost detail structure data and the characteristic operators, so that a useful detail structure can beextracted from the lost information; obtained convolution data are added to the optimized original reconstructed image; and finally a CT reconstructed image is obtained. According to the method, structure detail features are retained with artifacts and noises decreased, and therefore, image reconstruction can be performed on complete data, and the obtained CT reconstructed image has very high quality and improved accuracy.

Description

technical field [0001] The invention belongs to the technical field of medical and industrial CT imaging, and in particular relates to a CT image reconstruction method and system, a terminal and a readable storage medium. Background technique [0002] The clinical value of computerized tomography (Computed Tomography, CT) is beyond doubt, but X-ray exposure is harmful to patients. At present, in the CT field, the dose of CT radiation is usually reduced by reducing the number of samples, such as under-sampling or sparse sampling methods. However, both undersampling and sparse sampling methods are incomplete sampling. [0003] To solve the problem of incomplete sampling, it is necessary to use CT algorithm to reconstruct the incomplete sampling data. At present, many hardware-based scanning protocols and reconstruction algorithms for processing low-dose sampling data have been proposed. However, when the traditional CT algorithm reconstructs incomplete sampling data, it will...

AI Technical Summary

Problems solved by technology

[0004] The present invention provides a CT image reconstruction method and system, a terminal and a readable storage medium, aiming to solve the problem that the existing reconstruction algorithm will cause the loss of structural details of the image, and the quality of the reconstructed image is low

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