A Few Projection CT Image Reconstruction Method Based on Generalized Variational Minimization
A CT image and image reconstruction technology, applied in the field of image processing, to achieve the effect of less projection data, high reconstruction efficiency and broad application prospects
Active Publication Date: 2016-04-13
INST OF FLUID PHYSICS CHINA ACAD OF ENG PHYSICS
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[0006] The technical problem to be solved by the present invention is to provide a small number of projection CT image reconstruction algorithm based on generalized variational minimization to reduce the time required for CT reconstruction under the premise of obtaining high-quality reconstructed images. The number of projections, thereby reducing the radiation dose of CT to the human body or CT scanning time, is suitable for the problem of CT image reconstruction of incomplete projection data
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[0052] All features disclosed in this specification, or steps in all methods or processes disclosed, may be combined in any manner, except for mutually exclusive features and / or steps.
[0053] Any feature disclosed in this specification (including any appended claims, abstract and drawings), unless expressly stated otherwise, may be replaced by alternative features which are equivalent or serve a similar purpose. That is, unless expressly stated otherwise, each feature is one example only of a series of equivalent or similar features.
[0054] Relevant description of the present invention:
[0055] 1. Imaging method: parallel beam scanning, sector scanning or cone scanning.
[0056] 2. Iterative algorithms for unconstrained minimization include Newton's algorithm, steepest descent algorithm or conjugate gradient algorithm.
[0057] 3. minf(u)=min‖Au-y‖ 2 This formula mainly considers that the objective function should make the reprojection of the reconstructed tomographic ...
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The invention relates to the field of image processing, in particular to a method for CT image reconstruction from a small number of projections based on generalized variational minimization. In order to address the problem in the prior art, the invention provides an algorithm for CT image reconstruction from a small number of projections based on generalized variational minimization to reduce the number of projections needed for the CT reconstruction so that radiation dose of CT to humans or CT scanning time are reduced. The invention is applicable to CT image reconstruction from incomplete projection data. The method for CT image reconstruction from a small number of projections based on generalized variational minimization is realized through the steps of establishing a projection matrix form of a CT scanning imaging model, and then establishing an optimization model for image reconstruction; carrying out optimization solution next to images in the optimization model for image reconstruction to obtain reconstruction data; further establishing an image correction model of generalized variational minimization to correct the reconstruction data of the reconstruction model to obtain corrected reconstruction images; and finally determining whether the corrected reconstruction images meet iteration stopping criteria. The invention is applied to the field of CT image reconstruction design.
Description
technical field [0001] The invention relates to the field of image processing, in particular to a reconstruction method of a small number of projection CT images based on generalized variation minimization. Background technique [0002] Computed tomography (CT) is a very important modern non-destructive testing technology with a wide range of applications. For example, in industry, CT technology is used to detect internal defects and assembly conditions of products; in medicine, CT technology is used to detect internal organ lesions such as the human head and abdomen; in petroleum, chemical and other fields, CT technology is used to detect multiphase flow sections, Obtain microscopic information on the cross-sectional distribution of pipes. Image reconstruction is the core issue in CT technology, which establishes the intrinsic relationship between projection data and tomographic structure images. [0003] Due to the limitation of detection environment, detection time and ...
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IPC IPC(8): G06T11/00G06T5/00A61B6/03
Inventor 钱伟新祁双喜王健王婉丽李泽仁程晋明刘冬兵
Owner INST OF FLUID PHYSICS CHINA ACAD OF ENG PHYSICS