Iterative reconstruction for X-ray computed tomography using prior-image induced nonlocal regularization

US9558570B2 · US · B2

Patent metadata
FieldValue
Publication numberUS-9558570-B2
Application numberUS-201414784714-A
CountryUS
Kind codeB2
Filing dateApr 16, 2014
Priority dateApr 16, 2013
Publication dateJan 31, 2017
Grant dateJan 31, 2017

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Abstract

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Disclosed is a method for performing X-ray Computed Tomography scanning, the method including acquiring a plurality of images of an object, obtaining an initial image from the plurality of images, calculating NonLocal weight of the initial image, utilizing a current image estimation and registered prior image, performing a successive over-relaxation optimization to yield a new image estimation with an intensity of the new image estimation equal or greater than zero, performing a cycle update, generating an image of the object utilizing the new image estimation obtained from the optimization, and outputting a resultant image.

First claim

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What is claimed is: 1. A method for operating an X-ray Computed Tomography (CT) scanning device, the method comprising: acquiring, by the CT scanning device, a plurality of images of an object; obtaining an initial image from the plurality of images; performing a calculation of NonLocal (NL) weight utilizing a current image estimation and a registered prior image; performing a Successive Over-Relaxation (SOR) optimization to yield a new image estimation, with an intensity of the new image estimation being equal or greater than zero; performing a cycle update that repeats the obtaining of the initial image, the performing of the NL weight calculation, and the SOR optimization; generating an image of the object utilizing the new image estimation obtained from the SOR optimization; and outputting a resultant image when a stop criterion is met. 2. The method of claim 1 , further comprising performing a prior-image induced NL regularization utilizing a potential function of: R PINL ⁡ ( μ ) = ∑ j ⁢ ⁢ ∑ k ∈ N j ⁢ ⁢ w ⁡ ( k , j ) ⁢ ( μ j - μ prior , k reg ) 2 , where μ prior reg denotes the registered prior image between a prior image μ prior and a current image, and N j denotes a search-window. 3. The method of claim 1 , wherein the SOR optimization yields a new image estimation according to: μ ~ j m + 1 = H j T ⁢ Σ - 1 ⁢ r m + S j ⁢ μ j m + β ⁢ ∑ k ∈ N j ⁢ ⁢ w ⁡ ( k , j ) ⁢ μ prior , k reg S j + β ⁢ ∑ k ∈ N j ⁢ ⁢ w ⁡ ( k , j ) , ⁢ μ j m + 1 = max ⁢ { 0 ,

Assignees

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Classifications

  • G06T12/20Primary

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

  • involving detection or reduction of artifacts or noise · CPC title

  • Iterative · CPC title

  • using calibration phantoms · CPC title

  • G06T11/006Primary

    Physics · mapped topic

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What does patent US9558570B2 cover?
Disclosed is a method for performing X-ray Computed Tomography scanning, the method including acquiring a plurality of images of an object, obtaining an initial image from the plurality of images, calculating NonLocal weight of the initial image, utilizing a current image estimation and registered prior image, performing a successive over-relaxation optimization to yield a new image estimation …
Who is the assignee on this patent?
The Res Found, Univ New York State Res Found
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 Jan 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 8 related publications on this page (citations in our corpus or others sharing the same primary CPC).