IP Library Granted Patent US 10,504,229
Granted Patent B2
US 10,504,229 · App. 15/642,741 · Granted Dec 10, 2019

Medical image processing apparatus and medical image processing method

Inventors: Bing Li (Beijing, CN); Xiaowei Yuan (Beijing, CN); Jinbiao Zhang (Beijing, CN); Jing Liu (Beijing, CN)
Assignee: Canon Medical Systems Corporation
G06T7/0014A61B5/4041A61B5/4064A61B5/7425A61B2576/026G06T7/73G06T2207/30016G06T2207/30096
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Quick Facts
Patent No.
US 10,504,229
App. No.
15/642,741
Granted
Dec 10, 2019
Kind
B2
Abstract

A medical image processing apparatus according to an embodiment includes processing circuitry configured to: extract position information of innervation from subject data; convert a subject nerve region that is based on the extracted position information into atlas data; analyze a position relation between a functional area in a brain in the atlas data and the converted subject nerve region; and convert the analysis result into the subject data.

Claims (52)

1. A medical image processing apparatus, comprising processing circuitry configured to:

extract position information of innervation from subject data;

convert a subject nerve region that is based on the extracted position information into atlas data;

analyze a position relation between a functional area in a brain in the atlas data and the converted subject nerve region; and

convert the analysis result into the subject data.

2. The medical image processing apparatus according to claim 1 , wherein the processing circuitry is configured to

obtain the functional area corresponding to the converted subject nerve region as the analysis result,

obtain the nerve region in association with the obtained functional area based on a correspondence of the functional area and the nerve region defined in the atlas data, and

compare the converted subject nerve region with the obtained nerve region to calculate and display a damage index.

3. The medical image processing apparatus according to claim 2 , wherein

the damage index includes statistical information of the subject nerve region, and

the statistical information is a functional rate of the nerve region.

4. The medical image processing apparatus according to claim 2 , wherein,

the nerve region is a region corresponding to a nerve fiber bundle, and

the functional area is a region corresponding to a brain function or a region corresponding to a tissue structure in the brain.

5. The medical image processing apparatus according to claim 1 , wherein the processing circuitry is configured to

extract position information of a lesion,

convert a tumor region that is based on the extracted position information of the tumor into the atlas data, and

analyze the position relation between the functional area in the atlas data, the nerve region in the atlas data and the converted tumor region.

6. The medical image processing apparatus according to claim 5 , wherein the processing circuitry is configured to

detect the nerve region affected by the lesion based on the position relation between the nerve region and the converted tumor region, and

obtain the functional area in association with the detected nerve region based on a correspondence of the functional area and the nerve region defined in the atlas data, as the analysis result.

7. The medical image processing apparatus according to claim 6 , wherein the processing circuitry is configured to

detect the subject nerve region affected by the lesion based on the obtained functional area, and

display the detected subject nerve region.

8. The medical image processing apparatus according to claim 7 , wherein the processing circuitry is configured to display an image highlighting the subject nerve region affected by the lesion.

9. The medical image processing apparatus according to claim 7 , wherein

one nerve region is associated with multiple functional areas in the atlas data,

when at least one of the functional areas locates in the lesion, the processing circuitry is configured to

detect the subject nerve region as a first nerve region that traverses an external functional area excluding an internal functional area located in the lesion in the functional areas,

detect the nerve region as a second nerve region that traverses the external functional area but not the internal functional area, and

detect the subject nerve region affected by the lesion by removing the subjected nerve region corresponding to the second nerve region from the first nerve region.

10. The medical image processing apparatus according to claim 7 , wherein the processing circuitry is configured to compare the detected subject nerve region with the nerve region affected by the lesion to calculate and display a damage index caused by the lesion.

11. The medical image processing apparatus according to claim 10 , wherein

the damage index includes the statistical information of the subject nerve region, and

the statistical information is at least one of an extrusion rate, an penetrating rate, an infiltration rate, a damage rate, and a functional rate of the nerve region.

12. The medical image processing apparatus according to claim 6 , wherein the processing circuitry is configured to

extract position information of a functional area in a brain from the subject data,

convert the subject functional area that is based on the extracted functional area into the atlas data, and

compare the obtained functional area with the converted subject functional area to calculate and display a damage index caused by the lesion.

13. The medical image processing apparatus according to claim 12 , wherein the damage index is a reduction ratio of the subject functional area with respect to the functional area in the atlas data.

14. The medical image processing apparatus according to claim 12 , wherein the processing circuitry is configured to

detect the subject nerve region affected by the lesion based on the functional area in association with the detected nerve region, and

compare the detected subject nerve region with the nerve region affected by the lesion to calculate and display the damage index caused by the lesion.

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

the damage index includes the statistical information of the subject nerve region, and

the statistical information is at least one of an extrusion rate, an penetrating rate, an infiltration rate, a damage rate, and a functional rate of the nerve region.

16. A medical image processing method, comprising:

extracting position information of innervation from subject data;

converting a subject nerve region that is based on the extracted position information into atlas data;

analyzing a position relation between a functional area in a brain in the atlas data and the converted subject nerve region; and

converting the analysis result into the subject data.

Assignments (2)
CHANGE OF NAME Recorded Jul 26, 2019
From: TOSHIBA MEDICAL SYSTEMS CORPORATION
To: CANON MEDICAL SYSTEMS CORPORATION
Reel/Frame 049879/0342 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jul 6, 2017
From: LI, BING; YUAN, XIAOWEI; ZHANG, JINBIAO; LIU, JING
To: TOSHIBA MEDICAL SYSTEMS CORPORATION
Reel/Frame 042923/0285 →
Priority Claims (2)
CN 2016 1 0961249 · Oct 28, 2016 · national
JP 2017-094113 · May 10, 2017 · national
Continuity (1)
Related Publication 20180122074A1 · May 3, 2018