System and method for regularized reconstruction of phase contrast computerized tomography

US9805481B2 · US · B2

Patent metadata
FieldValue
Publication numberUS-9805481-B2
Application numberUS-201615004293-A
CountryUS
Kind codeB2
Filing dateJan 22, 2016
Priority dateJan 22, 2016
Publication dateOct 31, 2017
Grant dateOct 31, 2017

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Abstract

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Reconstructing under-sampled PCT data includes obtaining under-sampled scan data of a subject-under-test, the object scan performed on a phase contrast computed tomography (PCT) system, performing a regularized Fourier analysis on the under-sampled scan data, correcting for one or more PCT system contributions to the under-sampled scan data by dividing the computed Fourier coefficients by Fourier coefficients representative of the one or more PCT system contributions, obtaining at least one of an absorption sinogram, a differential phase sinogram, and a dark field sinogram from the corrected Fourier coefficients, and performing tomographic reconstruction on the obtained absorption sinogram, the obtained differential phase sinogram, and the obtained dark field sinogram. A system and non-transitory computer readable medium are also disclosed.

First claim

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The invention claimed is: 1. A method for reconstructing under-sampled phase contrast computed tomography data, the method comprising: obtaining under-sampled scan data of a subject-under-test, the object scan performed on a phase contrast computed tomography (PCT) system; performing a regularized Fourier analysis on the under-sampled scan data; correcting for one or more PCT system contributions to the under-sampled scan data by dividing the computed Fourier coefficients by Fourier coefficients representative of the one or more PCT system contributions; obtaining at least one of an absorption sinogram, a differential phase sinogram, and a dark field sinogram from the corrected Fourier coefficients; and performing tomographic reconstruction on the obtained absorption sinogram, the obtained differential phase sinogram, and the obtained dark field sinogram. 2. The method of claim 1 , including collecting the under-sampled object scan data in a randomized manner. 3. The method of claim 1 , including obtaining the Fourier coefficients representative of the one or more PCT system contributions by performing an air scan. 4. The method of claim 1 , wherein the dividing step corrects the computed Fourier coefficients for PCT system non-homogeneities. 5. The method of claim 1 , the regularized Fourier analysis step including solving a minimization equation expressed as min a ⁢  M ⁢ ⁢ ℱ H ⁢ a - d  + R ⁡ ( a ) . 6. The method of claim 1 , wherein the regularized Fourier analysis step includes the correcting step. 7. The method of claim 6 , including the regularized Fourier analysis step including solving a minimization equation expressed as min b ⁢  M ⁢ ⁢ ℱ H ⁢ Cb - d  + R ⁡ ( b ) . 8. A non-transitory computer-readable medium having stored thereon instructions which when executed by a processor cause the processor to perform a method for reconstructing under-sampled phase contrast computed tomography data, the method comprising: obtaining under-sampled scan data of a subject-under-test, the object scan performed on a phase contrast computed tomography (PCT) system; performing a regularized Fourier analysis on the under-sampled scan data; computing Fourier coefficients for the under-sampled scan data; correcting for one or more PCT system contributions to the under-sampled scan data by dividing the computed Fourier coefficients by Fourier coefficients representative of the one or more PCT system contributions; obtaining at least one of an absorption sinogram, a differential phase sinogram, and a dark field sinogram from the corrected Fourier coefficients; and performing tomographic reconstruction on the obtained absorption sinogram, the obtained differential phase sinogram, and the obtained dark field sinogram. 9. The non-transitory computer-readable medium of claim 8 , including instructions to cause the processor to collect the under-sampled object scan data in a randomized manner. 10. The non-transitory computer-readable medium of claim 8 , including instructions to cause the processor to obtain the Fourier coefficients representative of the one or more PCT system contributions by performing an air scan. 11. The non-transitory computer-readable medium of claim 8 , including instructions to cause the processor to correct the computed Fourier coefficients for PCT system non-homogeneities during the dividing step. 12. The non-transitory computer-readable medium of claim 8 , including instructions to cause the processor to perform the regularized Fourier analysis step by solving a minimization equation expressed as min a ⁢  M ⁢ ⁢ ℱ H ⁢ a - d  + R ⁡ ( a ) . 13. The non-transitory computer-readable medium of claim 8 , including instructions to cause the processor to combine the regularized Fourier analysis step and the correcting step. 14. The non-transitory computer-readable medium of claim 13 , including instructions to cause the processor to perform the regularized Fourier analysis step by solving a minimization equation expressed as min b ⁢  M ⁢ ⁢ ℱ H ⁢ Cb - d  + R ⁡

Assignees

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Classifications

  • Inverse problem, i.e. transformations from projection space into object space · CPC title

  • Image preprocessing, e.g. calibration, positioning of sources or scatter correction · CPC title

  • image processing · CPC title

  • Computed tomography · CPC title

  • G01N23/046Primary

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

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What does patent US9805481B2 cover?
Reconstructing under-sampled PCT data includes obtaining under-sampled scan data of a subject-under-test, the object scan performed on a phase contrast computed tomography (PCT) system, performing a regularized Fourier analysis on the under-sampled scan data, correcting for one or more PCT system contributions to the under-sampled scan data by dividing the computed Fourier coefficients by Fouri…
Who is the assignee on this patent?
Gen Electric
What technology area does this patent fall under?
Primary CPC classification G01N23/046. Mapped technology areas include Physics.
When was this patent published?
Publication date Tue Oct 31 2017 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 1 related publication on this page (citations in our corpus or others sharing the same primary CPC).