Ct imaging systems and methods thereof
US-2015356755-A1 · Dec 10, 2015 · US
US9513235B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-9513235-B2 |
| Application number | US-201414337209-A |
| Country | US |
| Kind code | B2 |
| Filing date | Jul 22, 2014 |
| Priority date | Jul 26, 2013 |
| Publication date | Dec 6, 2016 |
| Grant date | Dec 6, 2016 |
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The present disclosure relates to a self-prior information based X-ray dual-energy CT reconstruction method, which can utilize information inherent in data to provide a prior model, thereby obtaining a reconstructed image with a high quality. The X-ray dual-energy CT reconstruction method according to the present disclosure comprises: (a) rating an energy spectrum and establishing a dual-energy lookup table; (b) collecting high-energy data p H and low-energy data p L of a dual-energy CT imaging system using a detector of the dual-energy CT imaging system; (c) obtaining projection images R 1 and R 2 of scaled images r 1 and r 2 according to the obtained high-energy data p H and low-energy data p L ; (d) reconstructing the scaled image r 2 using a first piece-wise smooth constraint condition and thereby obtaining an electron density image; and (e) reconstructing the scaled image r 1 using a second piece-wise smooth constraint condition and thereby obtaining an equivalent atomic number image. In the present disclosure, the noise in the dual-energy reconstructed image can be effectively prohibited while keeping the resolution by effectively using information inherent in data.
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What is claimed is: 1. An X-ray dual-energy CT reconstruction method, comprising: (a) collecting high-energy data p H and low-energy data p L of a dual-energy CT imaging system using a detector of the dual-energy CT imaging system; (b) obtaining projection images R 1 and R 2 of scaled images r 1 and r 2 according to the obtained high-energy data p H and low-energy data p L ; (c) reconstructing the scaled image r 2 using a first piece-wise smooth constraint condition and obtaining a decomposition coefficient a 2 ; and (d) reconstructing the scaled image r 1 using a second piece-wise smooth constraint condition and obtaining a decomposition coefficient a 1 . 2. The X-ray dual-energy CT reconstruction method according to claim 1 , wherein, the scaled images r 1 and r 2 are defined in equation (4) as follows: r 1 ≡ diag ( 1 ω 1 + ɛ ) a 1 r 2 ≡ diag ( 1 ω 2 + ɛ ) a 2 ( 4 ) the projection images R 1 and R 2 are defined in equation (6) as follows: R 1 ≡H′ 1 r 1 R 2 ≡H′ 2 r 2 (6) wherein, H′ 1 ≡Hdiag(ω 1 +ε) and H′ 2 ≡Hdiag(ω 2 +ε), in which H is a projection matrix, a 1 and a 2 are decomposition coefficients, ε is a vector with small constant coefficients, and ω 1 and ω 2 are vectors which can be selected randomly, in the step (c), r 2 is reconstructed using the following equation (9) as the first piece-wise smooth constraint condition: min r 2 ∇ r 2 p s . t . R 2 ≡ H 2 ′ r 2 ( 9 ) and in the step (d), r 1 is reconstructed using the following equation (8) as the second piece-wise smooth constraint condition: min r 1 ∇ r 1 p s . t . R 1 ≡ H 1 ′ r 1 . ( 8 ) 3. The X-
Inverse problem, i.e. transformations from projection space into object space · CPC title
Computed x-ray tomography [CT] · CPC title
Dual energy · CPC title
Biomedical image processing · CPC title
using tomography, e.g. computed tomography [CT] · CPC title
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