Method and apparatus for analyzing blood vessel based on machine learning model
AssigneeThe Catholic University of Korea Industry-Academic Cooperation Foundation
InventorsNamkug Kim, Keewon Shin, Dae-Won Kim
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Abstract
An apparatus for analyzing a blood vessel includes a processor configured to detect a blood vessel area corresponding to the blood vessel and a stenosis area corresponding to a stenosed portion of the blood vessel, based on a machine learning model, from a blood vessel image, determine a partial area of the blood vessel area to be a comparison area for the stenosis area, based on a length of the stenosis area, and calculate a stenosis score indicating a degree of stenosis of a blood vessel of the stenosis area compared to a blood vessel of the comparison area.
Claims18
A method performed by an apparatus for analyzing a blood vessel, the method comprising:
- receiving a blood vessel image from an input unit;
- preprocessing, with a processor, the blood vessel image to determine a target blood vessel of blood vessels in the blood vessel image, wherein the target blood vessel in the blood vessel image is emphasized by blurring surrounding structure in the blood vessel image;
- detecting, with the processor a blood vessel area corresponding to the target blood vessel and a stenosis area corresponding to a stenosed portion of the target blood vessel, based on a machine learning model, from the blood vessel image;
- determining, with the processor and the machine learning model, a partial area of the blood vessel area to be a comparison area for the stenosis area, based on a length of the stenosis area, by determining a first area and a second area each on respective sides of the stenosis area in a longitudinal direction of the target blood vessel to be the comparison area, wherein a median value of a blood vessel diameter of the second area is less than a median value of a blood vessel diameter of the first area;
- and
- calculating, with the processor, a stenosis score indicating a degree of stenosis of a blood vessel of the stenosis area compared to a blood vessel of the comparison area, based on a distribution of blood vessel diameters in the longitudinal direction of the target blood vessel in the blood vessel area.
An apparatus for analyzing a blood vessel, the apparatus comprising:
- an input unit;
- and
- a processor configured to preprocess a blood vessel image received by the input unit to determine a target blood vessel of blood vessels in the blood vessel image, wherein the target blood vessel in the blood vessel image is emphasized by blurring surrounding structure in the blood vessel image, wherein the processor is configured to detect a blood vessel area corresponding to the target blood vessel and a stenosis area corresponding to a stenosed portion of the target blood vessel, based on a machine learning model, from the blood vessel image, determine with the machine learning model a partial area of the blood vessel area to be a comparison area for the stenosis area, based on a length of the stenosis area by determining a first area and a second area each on respective sides of the stenosis area in a longitudinal direction of the target blood vessel to be the comparison area, wherein a median value of a blood vessel diameter of the second area less than a median value of a blood vessel diameter of the first area, and calculate, using the processor, a stenosis score indicating a degree of stenosis of a blood vessel of the stenosis area compared to a blood vessel of the comparison area.
Dependencies are inferred from the claim text.