Method for subjecting PET image to motion compensation and attenuation correction by using small number of low-radiation-dose CT images

US9582906B2 · US · B2

Patent metadata
FieldValue
Publication numberUS-9582906-B2
Application numberUS-201214421769-A
CountryUS
Kind codeB2
Filing dateDec 14, 2012
Priority dateOct 29, 2012
Publication dateFeb 28, 2017
Grant dateFeb 28, 2017

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  5. First independent claim

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Abstract

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The present invention relates to a method for motion compensation and state-of-motion specific attenuation correction of positron tomography images by using a small number of low-radiation-dose computer tomography images. The method of the present invention comprises the steps of: acquiring respiration-specific PET data; acquiring CT images from at least 2 different respirations, and using same to generate a virtual 4D CT image; matching the 4D CT image and the respiration-specific PET data, and selecting 3D CT images accurately corresponding to specific respirations; using the selected results to extract respiration motion displacement field information between respiration-specific PET data; using the selected CT images to subject the respiration-specific PET data to respiration-specific attenuation and scattering correction; and using the corrected respiration-specific PET data items and the extracted respiration motion displacement field information items to carry out respiration compensation and reconstruction.

First claim

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What is claimed is: 1. A method for constructing a positron emission tomography (PET) image, comprising: acquiring phase-matched PET data; acquiring CT images corresponding to at least two different respiratory states and generating a virtual 4D CT image using the acquired CT images; selecting 3D CT images, corresponding to the phase-matched PET data, from among the 4D CT images; and performing phase-matched attenuation correction and phase-matched scattering correction on the phase-matched PET data using the selected 3D CT images. 2. The method of claim 1 , further comprising: performing respiratory motion compensation and reconstruction on the phase-matched PET data, suffering the attenuation correction and the scattering correction, using a selected 3D CT image corresponding to each respiration. 3. The method of claim 2 , wherein respiratory motion information among phase-matched PET data is estimated by matching the virtual 4D CT image and a phase-matched PET image using a distortion phenomenon of the attenuation correction. 4. The method of claim 1 , wherein each of the CT images acquired at the different respiratory states is obtained and utilized using about 10˜50% of a radiation doze that is used when scanning one discrete CT image. 5. The method of claim 1 , wherein different respirations corresponding to the at least two different respiratory states include inhalation and exhalation or inhalation, exhalation and an intermediate respiration. 6. The method of claim 1 , wherein the phase-matched PET data is acquired in a list-mode PET data acquisition mode, with a respiratory gating system mounted on a patient's chest or abdomen. 7. The method of claim 1 , wherein the generating of a virtual 4D CT image comprises: dividing the CT images of different respirations into regions according to a motion characteristic; performing image registration every region; merging the image-registered regions. 8. The method of claim 7 , wherein the performing of image registration every region is made using B-spline FFD (Free Form Deformation) conversion. 9. The method of claim 8 , wherein motion characteristic information of each region is applied to the B-spline FFD conversion as a constraint. 10. The method of claim 7 , wherein the merging of the image-registered regions comprises: performing refinement on a respiratory region motion field at a boundary. 11. The method of claim 10 , wherein the refinement is performed using a graph-cut algorithm. 12. The method of claim 1 , wherein the performing of phase-matched attenuation correction and phase-matched scattering correction comprises: matching CT images, corresponding to the phase-matched PET data, from among the 4D CT images. 13. The method of claim 12 , wherein the matched CT images are selected by performing attenuation correction and reconstruction on the phase-matched PET image and searching for a CT image corresponding to phase-matched PET data using a distortion degree of the attenuation correction measured from the reconstructed image. 14. The method of claim 12 , wherein a CT image corresponding to phase-matched PET data is selected using the distortion degree of the attenuation correction independently every phase-matched PET data. 15. The method of claim 12 , wherein a CT image corresponding to phase-matched PET data is selected using the distortion degree of the attenuation correction such that a sum of a whole distortion degree of the attenuation correction and a respiratory motion error degree is minimized, under the condition that phase-matched PET data is used as a whole set.

Assignees

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Classifications

  • G06T12/10Primary

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

  • G06T11/005Primary

    Physics · mapped topic

  • Exact reconstruction · CPC title

  • A61B6/00Primary

    Apparatus or devices for radiation diagnosis; Apparatus or devices for radiation diagnosis combined with radiation therapy equipment (instruments measuring radiation intensity for application in the field of nuclear medicine, e.g. in vivo counting, G01T1/161) · CPC title

  • Computed tomography [CT] · CPC title

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What does patent US9582906B2 cover?
The present invention relates to a method for motion compensation and state-of-motion specific attenuation correction of positron tomography images by using a small number of low-radiation-dose computer tomography images. The method of the present invention comprises the steps of: acquiring respiration-specific PET data; acquiring CT images from at least 2 different respirations, and using same…
Who is the assignee on this patent?
Korea Advanced Inst Sci & Tech
What technology area does this patent fall under?
Primary CPC classification G06T12/10. Mapped technology areas include Physics.
When was this patent published?
Publication date Tue Feb 28 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).