Reconstructing dual-energy CT images

US10529095B2 · US · B2

Patent metadata
FieldValue
Publication numberUS-10529095-B2
Application numberUS-201815871131-A
CountryUS
Kind codeB2
Filing dateJan 15, 2018
Priority dateJan 16, 2017
Publication dateJan 7, 2020
Grant dateJan 7, 2020

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Abstract

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Methods and devices for reconstructing dual-energy CT images are provided. In one aspect, CT scan is performed with a high energy and a low energy periodically and alternatively changed on a scanning target, reconstruction data for a high-energy image of a current reconstruction position is obtained based on whether a circle of high-energy scan closest to the current reconstruction position of the scanning target is a full circle of scan, the high-energy image of the current reconstruction position is reconstructed according to the reconstruction data of the high-energy image; reconstruction data for a low-energy image of the current reconstruction position is obtained based on whether a circle of high-energy scan closest to the current reconstruction position of the scanning target is the full circle of scan, the low-energy image of the current reconstruction position is reconstructed according to the reconstruction data of the low-energy image.

First claim

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What is claimed is: 1. A method of reconstructing dual-energy CT images, comprising: performing a CT scan with a high energy and a low energy periodically and alternatively changed on a scanning target, wherein a scanning angle range for each full circle of high-energy scan and a scanning angle range for each full circle of low-energy scan are respectively from 0 to θ max ; determining whether a circle of high-energy scan closest to a current reconstruction position of the scanning target is a full circle of scan; when the circle of high-energy scan closest to a current reconstruction position of the scanned target is the full circle of scan, obtaining a first set of projection data corresponding to the full circle of high-energy scan as reconstruction data for a high-energy image corresponding to the current reconstruction position; when the circle of high-energy scan closest to the current reconstruction position of the scanned target is not the full circle of scan, obtaining a second set of projection data corresponding to a non-full circle of high-energy scan, wherein a scanning angle range corresponding to the non-full circle of high-energy scan is from 0 to θ high-end , 0<θ high-end <θ max , truncating a third set of projection data corresponding to a scanning angle range from θ high-end to θ max from projection data corresponding to a full circle of high-energy scan before the non-full circle of scan; merging the second set of projection data and the third set of projection data as the reconstruction data for the high-energy image of the current reconstruction position; reconstructing the high-energy image of the current reconstruction position according to the reconstruction data of the high-energy image; determining whether a circle of low-energy scan closest to a current reconstruction position of the scanning target is a full circle of scan; when the circle of low-energy scan closest to a current reconstruction position of the scanned target is the full circle of scan, obtaining a fourth set of projection data corresponding to the full circle of low-energy scan as reconstruction data for a low-energy image corresponding to the current reconstruction position; when the circle of low-energy scan closest to the current reconstruction position of the scanned target is not the full circle of scan, obtaining a fifth set of projection data corresponding to a non-full circle of low-energy scan, wherein a scanning angle range corresponding to the non-full circle of low-energy scan is from 0 to θ low-end , 0<θ low-end <θ max , truncating a sixth set of projection data corresponding to a scanning angle range from θ low-end to θ max from projection data corresponding to a full circle of low-energy scan before the non-full circle of scan; merging the fifth set of projection data and the sixth set of projection data as the reconstruction data for the low-energy image of the current reconstruction position; reconstructing the low-energy image of the current reconstruction position according to the reconstruction data of the low-energy image. 2. The method of claim 1 , wherein the full circle of high-energy scan corresponding to the second set of projection data and the non-full circle of high-energy scan are spaced by a full circle of low-energy scan when the circle of high-energy scan closest to the current reconstruction position is the non-full circle of high-energy scan; and the full circle of low-energy scan corresponding to the fifth set of projection data and the non-full circle of the low-energy scan are spaced by a full circle of the high-energy scan when the circle of the low-energy scan closest to the current reconstruction position is the non-full circle of low-energy scan. 3. The method of claim 1 , further comprising: determining a circle of high-energy scan passing through the current reconstruction position to be the circle of high-energy scan closest to the current reconstruction position when the high-energy scan is performed on the current reconstruction position. 4. The method of claim 3 , further comprising: when the low-energy scan is not performed on the current reconstruction position, calculating a first distance between the current reconstruction position and a finishing position of a previous circle of low-energy scan adjacent to the circle of high-energy scan passing through the reconstruction position and a second distance between the current reconstruction position and a starting position of a next circle of the low-energy scan adjacent to the circle of high-energy scan passing through the current reconstruction position, respectively; and determining the circle of low-energy scan corresponding to a smaller one of the first distance and the second distance to be the circle of the low-energy scan closest to the current reconstruction position. 5. The method of claim 1 , further comprising: determining a circle of low-energy scan passing through the current reconstruction position to be the circle of low-energy scan closest to the current reconstruction position when the low-energy scan is performed on the current reconstruction position. 6. The method of claim 5 , further comprising: when the high-energy scan is not performed on the current reconstruction position, calculating a third distance between the current reconstruction position and a finishing position of a previous circle of high-energy scan adjacent to the circle of low-energy scan passing through the reconstruction position and a fourth distance between the current reconstruction position and a starting position of a next circle of high-energy scan adjacent to the circle of low-energy scan passing through the current reconstruction position, respectively; and determining the circle of high-energy scan corresponding to a smaller one of the third distance and the fourth distance to be the circle of high-energy scan closest to the current reconstruction position. 7. The method of claim 1 , wherein the CT scan is spiral scan, an overlapping part of a circle of high-energy scan and a circle of the low-energy scan adjacent with each other is an energy switching area, and projection data corresponding to the energy switching area is invalid. 8. A device for reconstructing a dual-energy CT image, comprising: a processor, and a non-transitory machine-readable storage medium storing machine executable instructions which are executable by the processor to: perform CT scan with a high energy and a low energy periodically and alternatively changed on a scanning target, wherein a scanning angle range for each full circle of high-energy scan and a scanning angle range for each full circle of low-energy scan are respectively from 0 to θ max ; determine whether a circle of high-energy scan closest to a current reconstruction position of the scanning target is a full circle of scan; when the circle of high-energy scan closest to a current reconstruction position of the scanned target is the full circle of scan, obtain a first set of projection data corresponding to the full circle of high-energy scan as reconstruction data for a high-energy image corresponding to the current reconstruction position; when the circle of high-energy scan closest to the current reconstruction position of the scanned target is not the full circle of scan, obtain a second set of projection data corresponding to a non-full circle of high-energy scan, wherein a scanning angle range corresponding to the non-full circle of high-energy scan is from 0 to θ high-end , 0<θ high-end <θ max , truncate a third set of projection data corresponding to a scanning angle range from θ high-end to θ max from projection data corresponding to a full circle of high-energy scan b

Assignees

Inventors

Classifications

  • Limited angle · CPC title

  • Dual energy · CPC title

  • G06T12/20Primary

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

  • G06T12/10Primary

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

  • A61B6/52Primary

    Devices using data or image processing specially adapted for radiation diagnosis · CPC title

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What does patent US10529095B2 cover?
Methods and devices for reconstructing dual-energy CT images are provided. In one aspect, CT scan is performed with a high energy and a low energy periodically and alternatively changed on a scanning target, reconstruction data for a high-energy image of a current reconstruction position is obtained based on whether a circle of high-energy scan closest to the current reconstruction position of …
Who is the assignee on this patent?
Shenyang Neusoft Medical Sys
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 07 2020 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 3 related publications on this page (citations in our corpus or others sharing the same primary CPC).