X-ray dual-energy CT reconstruction method

US9513235B2 · US · B2

Patent metadata
FieldValue
Publication numberUS-9513235-B2
Application numberUS-201414337209-A
CountryUS
Kind codeB2
Filing dateJul 22, 2014
Priority dateJul 26, 2013
Publication dateDec 6, 2016
Grant dateDec 6, 2016

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Abstract

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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.

First claim

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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-

Assignees

Inventors

Classifications

  • G06T12/20Primary

    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

  • G01N23/046Primary

    using tomography, e.g. computed tomography [CT] · CPC title

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What does patent US9513235B2 cover?
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…
Who is the assignee on this patent?
Univ Tsinghua, Nuctech Co Ltd
What technology area does this patent fall under?
Primary CPC classification G06T12/20. Mapped technology areas include Physics.
When was this patent published?
Publication date Tue Dec 06 2016 00:00:00 GMT+0000 (Coordinated Universal Time) (B2). Legal status and post-grant events are not shown on this page.
What related patents are in patentsdb?
We list 2 related publications on this page (citations in our corpus or others sharing the same primary CPC).