Blood vessel status evaluation method and blood vessel status evaluation device

1. A blood vessel status evaluation method, comprising:

obtaining at least one angiography image corresponding to a target user;

selecting a target image from the at least one angiography image;

determining a blood vessel type of the target user according to a distribution status of a target blood vessel pattern in the target image;

establishing a blood vessel topology structure corresponding to the target blood vessel pattern, which comprises information of a width of a blood vessel in the target blood vessel pattern and information of an intersection of the blood vessel in the target blood vessel pattern; and

automatically analyzing a blood vessel status of the target user according to the blood vessel type and the blood vessel topology structure.

2. The blood vessel status evaluation method according to claim 1 , wherein selecting the target image from the at least one angiography image comprises:

obtaining a proportion of a first blood vessel pattern in a first image of the at least one angiography image; and

selecting the target image from the at least one angiography image according to the proportion.

3. The blood vessel status evaluation method according to claim 1 , wherein determining the blood vessel type of the target user according to the distribution status of the target blood vessel pattern in the target image comprises:

dividing the target image into multiple image areas; and

determining that the blood vessel type of the target user is left dominance or right dominance according to the distribution status of the target blood vessel pattern in the multiple image areas.

4. The blood vessel status evaluation method according to claim 1 , wherein establishing the blood vessel topology structure corresponding to the target blood vessel pattern comprises:

obtaining a skeleton of the target blood vessel pattern;

obtaining an outline of the target blood vessel pattern; and

obtaining the width of the blood vessel in the target blood vessel pattern according to an interval between the skeleton and the outline.

5. The blood vessel status evaluation method according to claim 4 , wherein establishing the blood vessel topology structure corresponding to the target blood vessel pattern further comprises:

filtering the skeleton by using an intersection model; and

obtaining the intersection of the blood vessel in the target blood vessel pattern according to a filtering result.

6. The blood vessel status evaluation method according to claim 1 , wherein automatically analyzing the blood vessel status of the target user according to the blood vessel type and the blood vessel topology structure further comprises:

determining a scoring rule according to the blood vessel type;

dividing the blood vessel topology structure into multiple scoring segments according to the scoring rule; and

evaluating the blood vessel status of the target user according to an occlusion status of the target blood vessel pattern in the multiple scoring segments.

7. A blood vessel status evaluation device, comprising:

a storage device storing at least one angiography image corresponding to a target user; and

a processor coupled to the storage device and operating an image processing module,

wherein the processor selects a target image from the at least one angiography image,

the processor further determines a blood vessel type of the target user according to a distribution status of a target blood vessel pattern in the target image,

the processor further establishes a blood vessel topology structure corresponding to the target blood vessel pattern, which comprises information of a width of a blood vessel in the target blood vessel pattern and information of an intersection of the blood vessel in the target blood vessel pattern, and

the processor further automatically analyzes a blood vessel status of the target user according to the blood vessel type and the blood vessel topology structure.

8. The blood vessel status evaluation device according to claim 7 , wherein an operation that the processor selects the target image from the at least one angiography image comprises:

obtaining a proportion of a first blood vessel pattern in a first image of the at least one angiography image; and

selecting the target image from the at least one angiography image according to the proportion.

9. The blood vessel status evaluation device according to claim 7 , wherein an operation that the processor determines the blood vessel type of the target user according to the distribution status of the target blood vessel pattern in the target image comprises:

dividing the target image into multiple image areas; and

determining that the blood vessel type of the target user is left dominance or right dominance according to the distribution status of the target blood vessel pattern in the multiple image areas.

10. The blood vessel status evaluation device according to claim 7 , wherein an operation that the processor establishes the blood vessel topology structure corresponding to the target blood vessel pattern comprises:

obtaining a skeleton of the target blood vessel pattern;

obtaining an outline of the target blood vessel pattern; and

obtaining the width of the blood vessel in the target blood vessel pattern according to an interval between the skeleton and the outline.

11. The blood vessel status evaluation device according to claim 10 , wherein the operation that the processor establishes the blood vessel topology structure corresponding to the target blood vessel pattern further comprises:

filtering the skeleton by using an intersection model; and

obtaining the intersection of the blood vessel in the target blood vessel pattern according to a filtering result.

12. The blood vessel status evaluation device according to claim 7 , wherein an operation that the processor automatically analyzes the blood vessel status of the target user according to the blood vessel type and the blood vessel topology structure further comprises:

determining a scoring rule according to the blood vessel type;

dividing the blood vessel topology structure into multiple scoring segments according to the scoring rule; and

evaluating the blood vessel status of the target user according to an occlusion status of the target blood vessel pattern in the multiple scoring segments.