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Adaptive Ridge Point Refinement for Seeds Detection in X-Ray Coronary Angiogram
Joint Authors
Yang, Jian
Wang, Yongtian
Fan, Jingfan
Ai, Danni
Wang, Guangzhi
Xiao, Ruoxiu
Liu, Yue
Source
Computational and Mathematical Methods in Medicine
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-05-18
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
Seed point is prerequired condition for tracking based method for extracting centerline or vascular structures from the angiogram.
In this paper, a novel seed point detection method for coronary artery segmentation is proposed.
Vessels on the image are first enhanced according to the distribution of Hessian eigenvalue in multiscale space; consequently, centerlines of tubular vessels are also enhanced.
Ridge point is extracted as candidate seed point, which is then refined according to its mathematical definition.
The theoretical feasibility of this method is also proven.
Finally, all the detected ridge points are checked using a self-adaptive threshold to improve the robustness of results.
Clinical angiograms are used to evaluate the performance of the proposed algorithm, and the results show that the proposed algorithm can detect a large set of true seed points located on most branches of vessels.
Compared with traditional seed point detection algorithms, the proposed method can detect a larger number of seed points with higher precision.
Considering that the proposed method can achieve accurate seed detection without any human interaction, it can be utilized for several clinical applications, such as vessel segmentation, centerline extraction, and topological identification.
American Psychological Association (APA)
Xiao, Ruoxiu& Yang, Jian& Ai, Danni& Fan, Jingfan& Liu, Yue& Wang, Guangzhi…[et al.]. 2015. Adaptive Ridge Point Refinement for Seeds Detection in X-Ray Coronary Angiogram. Computational and Mathematical Methods in Medicine،Vol. 2015, no. 2015, pp.1-10.
https://search.emarefa.net/detail/BIM-1057920
Modern Language Association (MLA)
Xiao, Ruoxiu…[et al.]. Adaptive Ridge Point Refinement for Seeds Detection in X-Ray Coronary Angiogram. Computational and Mathematical Methods in Medicine No. 2015 (2015), pp.1-10.
https://search.emarefa.net/detail/BIM-1057920
American Medical Association (AMA)
Xiao, Ruoxiu& Yang, Jian& Ai, Danni& Fan, Jingfan& Liu, Yue& Wang, Guangzhi…[et al.]. Adaptive Ridge Point Refinement for Seeds Detection in X-Ray Coronary Angiogram. Computational and Mathematical Methods in Medicine. 2015. Vol. 2015, no. 2015, pp.1-10.
https://search.emarefa.net/detail/BIM-1057920
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1057920