Body motion detection device and method

US9619893B2 · US · B2

Patent metadata
FieldValue
Publication numberUS-9619893-B2
Application numberUS-201514666468-A
CountryUS
Kind codeB2
Filing dateMar 24, 2015
Priority dateSep 27, 2012
Publication dateApr 11, 2017
Grant dateApr 11, 2017

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Abstract

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A contrast calculating unit calculates a contrast of a high frequency component and a contrast of a low frequency component of a transformed radiographic image at an analysis point set by an analysis point setting unit. A ratio calculating unit calculates a ratio of the contrast of the high frequency component to the contrast of the low frequency component. A determining unit determines whether or not there is a body motion during an imaging operation to take the radiographic image based on the ratio. A display control unit displays a result of the determination on a display unit.

First claim

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What is claimed is: 1. A body motion detection device comprising: a signal processing unit configured to perform a process including, calculating a contrast of a high frequency component and a contrast of a low frequency component of a radiographic image; calculating a ratio of the contrast of the high frequency component to the contrast of the low frequency component; and determining whether or not there is a body motion of a subject contained in the radiographic image based on the ratio. 2. The body motion detection device as claimed in claim 1 , wherein the contrast is calculated by generating, from the radiographic image, a high frequency image containing the high frequency component and a low frequency image containing the low frequency component, and calculating the contrast of the high frequency component and the contrast of the low frequency component from the high frequency image and the low frequency image. 3. The body motion detection device as claimed in claim 2 , wherein the contrast is calculated by calculating the contrast of the high frequency component and the contrast of the low frequency component at at least one analysis point contained in the radiographic image, the analysis point being set for calculation of the contrast of the high frequency component and the contrast of the low frequency component. 4. The body motion detection device as claimed in claim 3 , wherein the contrast is calculated by determining, at the analysis point on each of the high frequency image and the low frequency image, a gradient direction of an edge portion contained in an analysis region with the analysis point being the center, and calculating a contrast along the gradient direction of each of the high frequency image and the low frequency image as the contrast of the high frequency component and the contrast of the low frequency component. 5. The body motion detection device as claimed in claim 4 , wherein, in a case where the analysis point comprises a plurality of analysis points, the ratio is calculated by calculating a ratio of the contrast of the high frequency component to the contrast of the low frequency component for the gradient direction determined at each of the analysis points. 6. The body motion detection device as claimed in claim 5 , wherein the determination of whether or not there is a body motion is made by determining the smallest ratio among the ratios calculated for the gradient directions as an index value indicating the body motion, and comparing the index value with a specific threshold value. 7. The body motion detection device as claimed in claim 3 , the process further including setting the analysis point on the radiographic image. 8. The body motion detection device as claimed in claim 7 , wherein the setting of the analysis point includes extracting a region of the subject from the radiographic image, and extracting a point at which the low frequency component in the region exceeds a specific threshold value as the analysis point. 9. The body motion detection device as claimed in claim 1 , the process further including displaying a result of the determination as to whether or not there is a body motion on a display unit. 10. The body motion detection device as claimed in claim 3 , the process further including displaying a result of the determination as to whether or not there is a body motion on a display unit. 11. The body motion detection device as claimed in claim 10 , wherein the process displays the radiographic image wherein information indicating a magnitude of the index value at the analysis point is added to the analysis point. 12. A body motion detection method comprising: calculating a contrast of a high frequency component and a contrast of a low frequency component of a radiographic image; calculating a ratio of the contrast of the high frequency component to the contrast of the low frequency component; and determining whether or not there is a body motion of a subject contained in the radiographic image based on the ratio. 13. An analysis point setting device comprising: a signal processing unit configured to perform a process including, extracting a region of interest of a subject from a radiographic image; and extracting a point at which a low spatial frequency component in the region of the subject exceeds a specific threshold value as an analysis point used to perform an operation to detect a body motion. 14. The analysis point setting device as claimed in claim 13 , wherein the threshold value is determined based on a standard deviation of pixel values in the region of the subject. 15. A body motion detection device comprising: the analysis point setting device as claimed in claim 13 , the signal processing unit being further configured to calculate a contrast of a high frequency component and a contrast of a low frequency component of the radiographic image at the analysis point; calculate a ratio of the contrast of the high frequency component to the contrast of the low frequency component; and determine whether or not there is a body motion of a subject contained in the radiographic image based on the ratio. 16. An analysis point setting method comprising: extracting a region of interest of a subject from a radiographic image; and extracting a point at which a low spatial frequency component in the region of the subject exceeds a specific threshold value as an analysis point used to perform an operation to detect a body motion. 17. A body motion detection method comprising: setting the analysis point on the radiographic image according to the analysis point setting method as claimed in claim 16 ; calculating a contrast of a high frequency component and a contrast of a low frequency component of the radiographic image at the analysis point; calculating a ratio of the contrast of the high frequency component to the contrast of the low frequency component; and determining whether or not there is a body motion of a subject contained in the radiographic image based on the ratio.

Assignees

Inventors

Classifications

  • X-ray image · CPC title

  • Motion blur correction · CPC title

  • Hierarchical, coarse-to-fine, multiscale or multiresolution image processing; Pyramid transform · CPC title

  • Inspection of images, e.g. flaw detection · CPC title

  • A61B6/5264Primary

    due to motion · CPC title

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What does patent US9619893B2 cover?
A contrast calculating unit calculates a contrast of a high frequency component and a contrast of a low frequency component of a transformed radiographic image at an analysis point set by an analysis point setting unit. A ratio calculating unit calculates a ratio of the contrast of the high frequency component to the contrast of the low frequency component. A determining unit determines whether…
Who is the assignee on this patent?
Fujifilm Corp, Fujifilm Coporation
What technology area does this patent fall under?
Primary CPC classification A61B6/5264. Mapped technology areas include Human Necessities.
When was this patent published?
Publication date Tue Apr 11 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).