A New Method for Segmentation of the Coronary Arteries of Interest and Diameter Measurement

Lurong Jiang,Jianwei Pan,Yue Li,Jijun Tong,Ting Shu,Danhua Zhu

doi:10.1109/access.2020.3007465

Abstract

Cardiovascular disease is a severe threat to human health. The assessment of the degree of cardiovascular stenosis is very important for the diagnosis of cardiovascular disease. The segmentation of coronary angiographic images is the basis of analyzing the degree of stenosis. In this paper, a method that evaluates explicitly the degree of stenosis of blood vessels of interest is proposed. This method first extracts the vessels of interest by interactive segmentation, then thins it, and then calculates the diameter by edge intersection method. The average Dice Similarity Coefficient (DSC) value of the proposed segmentation method exceeds 92%, and the average Jaccard Similarity (JAC) value is over 86%. The area under the ROC curve value of the method is larger than the u-net method and the multiscale Hessian method. The results indicate that the interactive method can have good segmentation results and meet the general segmentation requirements. The qualitative and quantitative evaluation of the diameter measurement effect also shows that the effect of the corresponding diameter measurement method can reflect the change of the thickness of the blood vessel and basically meet the needs of clinical use.

Highlights

Cardiovascular disease (CVD) has become the leading cause of human health hazards and death [1]
Detection of coronary artery disease such as atherosclerosis or stenosis in the early stage of cardiovascular disease is of great significance for the early treatment and intervention of coronary heart disease
Considering that the commonly used global-based image segmentation methods lack particular pertinence and are somewhat redundant for its global operations, the most inconvenient is that the results obtained need to be manually confirmed

Summary

Introduction

Cardiovascular disease (CVD) has become the leading cause of human health hazards and death [1]. Coronary heart disease (CHD) has the highest incidence due to coronary artery stenosis, obstruction, and insufficient blood supply. Detection of coronary artery disease such as atherosclerosis or stenosis in the early stage of cardiovascular disease is of great significance for the early treatment and intervention of coronary heart disease. Coronary angiography (CAG) can reveal the anatomical deformity of coronary arteries and the location, degree, and scope of obstructive lesions. It is currently a widely accepted method that can directly observe the morphology of coronary

Objectives

Methods

Results

Conclusion