Rapid algebraic reconstruction technique applied to computed tomography imaging
A technology of algebraic reconstruction and CT imaging, which is applied in the field of biomedical imaging and non-destructive testing, and can solve the problems of limited application, slow reconstruction speed, and large calculation amount of algebraic reconstruction method
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[0059] The present invention will be further described below in conjunction with the drawings and specific embodiments.
[0060] Assume that the large-scale linear equation system obtained by transforming the CT imaging problem is Ax=b. Wherein, A is an M×N system matrix, M is the dimension of the measurement data, and N=n×n is the dimension of the image space. In the case of incomplete projection, M<N. In order to reconstruct high-quality images, it is also necessary to introduce some prior knowledge for regularization. An effective and widely used regularization technique is the Total variation (TV) regularization technique.
[0061] The present invention provides a TV-like regularization technique. After regularization, the CT image reconstruction problem is transformed into the minimization problem of the following objective function:
[0062] f(x)=||Ax-b|| 2 +γ 2 ||R 1 x|| 2 +γ 2 ||R 2 x|| 2 (17)
[0063] Among them, γ is the regularization coefficient. R 1 ,...
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