IP Library Granted Patent US 11,410,312
Granted Patent B2
US 11,410,312 · App. 17/015,951 · Granted Aug 9, 2022

Dynamic analysis system

Inventor: Noritsugu Matsutani (Musashino, JP)
Assignee: KONICA MINOLTA, INC.
G06T7/0016A61B6/463A61B6/486A61B6/50A61B6/503A61B6/507A61B6/5217A61B6/5235A61B6/5288G06T7/38A61B6/468G06T2207/10016G06T2207/10116G06T2207/30061
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Quick Facts
Patent No.
US 11,410,312
App. No.
17/015,951
Granted
Aug 9, 2022
Kind
B2
Abstract

A dynamic analysis system includes a hardware processor and an output device. The hardware processor obtains a cycle of temporal change in a feature amount relevant to a function to be diagnosed from each of dynamic images obtained by imaging of a dynamic state of a living body with radiation. The hardware processor further adjusts the obtained cycle, thereby generating a plurality of cycle-adjusted data having cycles of the temporal change in the feature amount being equal to one another. The hardware processor further generates difference information at each phase in the plurality of cycle-adjusted data. The output device outputs the difference information.

Claims (50)

1. A dynamic analysis system comprising:

a hardware processor that:

analyzes a first dynamic image obtained by imaging of a dynamic state of a living body with radiation and generates a first analysis result image, and analyzes a second dynamic image obtained by imaging of the dynamic state of the living body with radiation and generates a second analysis result image; and

generates difference information at each phase in the first analysis result image and the second analysis result image; and

an output device that outputs the difference information.

2. The dynamic analysis system according to claim 1 , wherein the hardware processor:

obtains a cycle of temporal change in a first feature amount relevant to a function to be diagnosed from the first analysis result image and a cycle of temporal change in a second feature amount relevant to the function to be diagnosed from the second analysis result image; and

adjusts the cycles obtained, thereby generating the first analysis result image and the second analysis result image having the cycles of the temporal change in the first feature amount and the second feature amount, respectively, the cycles being equal to one another.

3. The dynamic analysis system according to claim 2 , wherein the hardware processor adds or deletes a frame image to or from at least one of the first analysis result image and the second analysis result image, thereby generating the first analysis result image and the second analysis result image having the cycles of the temporal change in the first feature amount and the second feature amount, respectively, the cycles being equal to one another.

4. The dynamic analysis system according to claim 3 , wherein the hardware processor calculates signal values of pixels of the frame image to be added to the at least one of the first analysis result image and the second analysis result image by interpolation using signal values of pixels of a plurality of frame images of the at least one of the first analysis result image and the second analysis result image, to which the frame image is to be added, the pixels being at same positions as the pixels of the frame image to be added.

5. The dynamic analysis system according to claim 3 , wherein the hardware processor:

generates the first analysis result image and the second analysis result image having phases at a start timing being matched with one another; and

calculates a difference value between signal values of pixels at same coordinates on frame images at a same timing in the first analysis result image and the second analysis result image.

6. The dynamic analysis system according to claim 2 , wherein the hardware processor generates an interpolation image based on signal values of a plurality of frame images selected from frame images of at least one of the first analysis result image and the second analysis result image, thereby generating the first analysis result image and the second analysis result image having the cycles of the temporal change in the first feature amount and the second feature amount, respectively, the cycles being equal to one another.

7. The dynamic analysis system according to claim 2 , wherein the hardware processor:

generates a graph showing the temporal change in the first feature amount relevant to the function to be diagnosed from the first analysis result image and a graph showing the temporal change in the second feature amount relevant to the function to be diagnosed from the second analysis result image;

obtains the cycle of the temporal change in the first feature amount and the cycle of the temporal change in the second feature amount based on the respective generated graphs; and

changes at least one of the cycle of the graph showing the temporal change in the first feature amount generated from the first analysis result image and the cycle of the graph showing the temporal change in the second feature amount generated from the second analysis result image, thereby generating the graphs having the cycles of the temporal change in the first feature amount and the second feature amount, respectively, the cycles being equal to one another.

8. The dynamic analysis system according to claim 7 , wherein the hardware processor:

generates the first analysis result image and the second analysis result image having phases at a start timing being matched with one another; and

calculates a difference value between signal values at a same timing in the first analysis result image and the second analysis result image.

9. The dynamic analysis system according to claim 2 , wherein

the function to be diagnosed is a perfusion function or a ventilation function in a lung field, and

the first feature amount and the second feature amount are each a signal value of a pixel in a region of interest.

10. The dynamic analysis system according to claim 2 , wherein

the function to be diagnosed is a function of a diaphragm, and

the first feature amount and the second feature amount are each a diaphragm position.

11. The dynamic analysis system according to claim 1 , wherein the hardware processor combines the difference information with at least one of the first analysis result image and the second analysis result image, and causes the output device to output the difference information combined with the at least one of the first analysis result image and the second analysis result image.

12. The dynamic analysis system according to claim 1 , wherein the first dynamic image and the second dynamic image are dynamic chest images.

13. A non-transitory computer readable storage medium storing a program that causes a computer to:

analyze a first dynamic image obtained by imaging of a dynamic state of a living body with radiation and generate a first analysis result image, and analyze a second dynamic image obtained by imaging of the dynamic state of the living body with radiation and generate a second analysis result image;

generate difference information at each phase in the first analysis result image and the second analysis result image; and

cause an output device to output the difference information.

14. The non-transitory computer readable storage medium according to claim 13 , wherein the program further causes the computer to:

obtain a cycle of temporal change in a first feature amount relevant to a function to be diagnosed from the first analysis result image and a cycle of temporal change in a second feature amount relevant to the function to be diagnosed from the second analysis result image; and

adjust the cycles obtained, thereby generating the first analysis result image and the second analysis result image having the cycles of the temporal change in the first feature amount and the second feature amount, respectively, being equal to one another.

15. The non-transitory computer readable storage medium according to claim 14 , wherein

the function to be diagnosed is a perfusion function or a ventilation function in a lung field, and

the first feature amount and the second feature amount are each a signal value of a pixel in a region of interest.

16. The non-transitory computer readable storage medium according to claim 14 , wherein

the function to be diagnosed is a function of a diaphragm, and

the first feature amount and the second feature amount are each a diaphragm position.

17. The non-transitory computer readable storage medium according to claim 14 , wherein the program further causes the computer to:

combine the difference information with at least one of the first analysis result image and the second analysis result image, and cause the output device to output the difference information combined with the at least one of the first analysis result image and the second analysis result image.

18. The non-transitory computer readable storage medium according to claim 13 , wherein the first dynamic image and the second dynamic image are dynamic chest images.

19. A dynamic analysis method comprising:

analyzing a first dynamic image obtained by imaging of a dynamic state of a living body with radiation and generating a first analysis result image, and analyzing a second dynamic image obtained by imaging of the dynamic state of the living body with radiation and generating a second analysis result image; and

generating difference information at each phase in the first analysis result image and the second analysis result image; and

causing an output device to output the difference information.

20. The dynamic analysis method according to claim 19 , wherein the first dynamic image and the second dynamic image are dynamic chest images.

Priority Claims (1)
JP JP2017-045532 · Mar 10, 2017 · national
Continuity (3)
Continuation 16706144 · Dec 6, 2019
Continuation 15915801 · Mar 8, 2018
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