Paper Info
Title
Two new stenosis detection methods of coronary angiograms
Abstract
Purpose Coronary angiography is the "gold standard" for diagnosing coronary artery disease. At present, the methods for detecting and evaluating coronary artery stenosis cannot satisfy the clinical needs, e.g., there is no prior study of detecting stenoses in prespecified vessel segments, which is necessary in clinical practice. Methods Two vascular stenosis detection methods are proposed to assist the diagnosis. The first one is an automatic method, which can automatically extract the entire coronary artery tree and mark all the possible stenoses. The second one is an interactive method. With this method, the user can choose any vessel segment to do further analysis of its stenoses. Results Experiments show that the proposed methods are robust for angiograms with various vessel structures. The precision, sensitivity, and F-1 score of the automatic stenosis detection method are 0.821, 0.757, and 0.788, respectively. Further investigation proves that the interactive method can provide a more precise outcome of stenosis detection, and our quantitative analysis is closer to reality. Conclusion The proposed automatic method and interactive method are effective and can complement each other in clinical practice. The first method can be used for preliminary screening, and the second method can be used for further quantitative analysis. We believe the proposed solution is more suitable for the clinical diagnosis of CAD.
Year
DOI
Venue
2022
10.1007/s11548-021-02551-6
INTERNATIONAL JOURNAL OF COMPUTER ASSISTED RADIOLOGY AND SURGERY
Keywords
DocType
Volume
Coronary angiograms, Coronary artery diseases, Automatic stenosis detection, Interactive stenosis detection
Journal
17
Issue
ISSN
Citations 
3
1861-6410
0
PageRank 
References 
Authors
0.34
0
8
Name
Order
Citations
PageRank
Yaofang Liu100.34
Xinyue Zhang22420.06
Wenlong Wan300.34
Shaoyu Liu400.34
Yingdi Liu500.34
Hu Liu600.34
Xueying Zeng700.34
Qing Zhang800.34