IP Library Granted Patent US 11,321,829
Granted Patent B2
US 11,321,829 · App. 16/589,339 · Granted May 3, 2022

Medical image processing apparatus, method for processing medical image, and non-transitory computer medium storing computer program

Inventors: Masaki Yoshida (Yaita, JP); Makoto Yonezawa (Utsunomiya, JP); Kazuyo Saito (Nasushiobara, JP); Hirotaka Ujiie (Nasukarasuyama, JP)
Assignee: CANON MEDICAL SYSTEMS CORPORATION
G06T7/0012A61B5/055A61B5/7207G16H30/20G16H30/40A61B6/466A61B8/483A61B8/5215
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Quick Facts
Patent No.
US 11,321,829
App. No.
16/589,339
Granted
May 3, 2022
Kind
B2
Abstract

A medical image processing apparatus according to present embodiments includes processing circuitry. The processing circuitry is configured to acquire medical images. The processing circuitry is configured to control the medical images based on an evaluation value corresponding to each of the medical images, thereby control a forwarding/reversing number or a forwarding/reversing speed of displayed images of the medical images for an operation amount.

Claims (49)

1. A medical image processing apparatus comprising:

processing circuitry configured to

acquire medical images,

calculate sensitivity parameters based on an evaluation value corresponding to each of the respective medical images, the sensitivity parameters each indicating forwarding/reversing number or forwarding/reversing speed of displayed images according to a unit amount of operation, and

control, based on the sensitivity parameters and an input operation amount, a forwarding/reversing number or a forwarding/reversing speed of the medical images thereby updating a displayed image of the medical images based on the controlled forwarding/reversing number or forwarding/reversing speed.

2. The medical image processing apparatus according to claim 1 , wherein the processing circuitry is configured to calculate the sensitivity parameters of the medical images according to distances from an attention region.

3. The medical image processing apparatus according to claim 2 , wherein the processing circuitry is configured to estimate the attention region based on at least one of: a helical pitch related to a helical scan: a tube current of an X-ray tube; an amount of X-ray exposure; a difference value from a past image; an observation time on a past image observation time; and a pixel value of a medical image.

4. The medical image processing apparatus according to claim 2 , wherein the processing circuitry is configured to estimate the attention region based on a region of interest (ROI) set in at least one of medical images.

5. The medical image processing apparatus according to claim 2 , wherein the processing circuitry is configured to estimate the attention region based on a result value from an analysis algorithm.

6. The medical image processing apparatus according to claim 1 , wherein the processing circuitry is configured to calculate the sensitivity parameters of the medical images according to reconstruction conditions of the medical images.

7. The medical image processing apparatus according to claim 1 , wherein the processing circuitry is configured to estimate a state that requires partial re-imaging, and calculate the sensitivity parameters of the medical images according to the state.

8. The medical image processing apparatus according to claim 7 , wherein the processing circuitry is configured to calculate the sensitivity parameters of the medical images according to the state of a subject in a scanning when the medical images have been acquired.

9. The medical image processing apparatus according to claim 1 , wherein the processing circuitry is configured to calculate the sensitivity parameter for each of the medical images based on plural sensitivity parameter elements.

10. The medical image processing apparatus according to claim 9 , wherein the processing circuitry is configured to calculate the sensitivity parameters by performing simple average, simple addition, weighted average, and weighted addition of at least two of the plural sensitivity parameter elements.

11. The medical image processing apparatus according to claim 1 , wherein the processing circuitry is configured to select any one of plural sensitivity parameter elements as the sensitivity parameter.

12. The medical image processing apparatus according to claim 1 , wherein

the processing circuitry is configured to

acquire calculation-used medical images for acquiring the sensitivity parameters, and

acquire display-used medical images for display,

the display-used medical images are same as the calculation-used medical images, or are extracted from the calculation-used medical images.

13. The medical image processing apparatus according to claim 1 , wherein

the processing circuitry is configured to

acquire calculation-used medical images for acquiring the sensitivity parameters, and

acquire display-used medical images for display,

the display-used medical images are different in type from the calculation-used medical images.

14. The medical image processing apparatus according to claim 1 , wherein

the processing circuitry is configured to

acquire calculation-used medical images for acquiring the sensitivity parameters, and

acquire display-used medical images for display,

the display-used medical images have different cross-sectional directions from the calculation-used medical images.

15. The medical image processing apparatus according to claim 1 , wherein

the processing circuitry is configured to

acquire calculation-used medical images for acquiring the sensitivity parameters, and

acquire display-used medical images for display,

the calculation-used medical images is scan image data.

16. The medical image processing apparatus according to claim 1 , wherein the medical images are images having different positions or having at least different imaging times.

17. The medical image processing apparatus according to claim 1 , wherein the processing circuitry is configured to further display character information indicating a reason why the sensitivity parameters are applied.

18. The medical image processing apparatus according to claim 1 , wherein

the processing circuitry is configured to

calculate an interval to be stored of the medical images based on the sensitivity parameters, and

store the medical images in a memory according to the interval.

19. A method for processing a medical image comprising steps of:

acquiring medical images;

calculating sensitivity parameters based on an evaluation value corresponding to each of the respective medical images, the sensitivity parameters each indicating forwarding/reversing number or forwarding/reversing speed of displayed images according to a unit amount of operation; and

controlling, based on the sensitivity parameters and an input operation amount, a forwarding/reversing number or a forwarding/reversing speed of the medical images, thereby updating a displayed image of the medical images based on the controlled forwarding/reversing number or forwarding/reversing speed.

20. A non-transitory computer readable medium storing a computer program realizing functions of:

acquiring medical images;

calculating sensitivity parameters based on an evaluation value corresponding to each of the respective medical images, the sensitivity parameters each indicating forwarding/reversing number or forwarding/reversing speed of displayed images according to a unit amount of operation; and

controlling, based on the sensitivity parameters and an input operation amount, a forwarding/reversing number or a forwarding/reversing speed of the medical images, thereby updating a displayed image of the medical images based on the controlled forwarding/reversing number or forwarding/reversing speed.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Oct 1, 2019
From: YOSHIDA, MASAKI; YONEZAWA, MAKOTO; SAITO, KAZUYO; UJIIE, HIROTAKA
To: CANON MEDICAL SYSTEMS CORPORATION
Reel/Frame 050583/0178 →
Priority Claims (2)
JP JP2018-189848 · Oct 5, 2018 · national
JP JP2019-173040 · Sep 24, 2019 · national
Continuity (1)
Related Publication 20200111208A1 · Apr 9, 2020