Model-guided directional minimal path for fully automatic extraction of coronary centerlines from cardiac CTA

Liu L, Shi W, Rueckert D, Hu M, Ourselin S, Zhuang X (2013)


Publication Type: Conference contribution

Publication year: 2013

Journal

Book Volume: 8149 LNCS

Pages Range: 542-549

Conference Proceedings Title: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Event location: JPN

ISBN: 9783642408106

DOI: 10.1007/978-3-642-40811-3_68

Abstract

Extracting centerlines of coronary arteries is a challenging but important task in clinical applications of cardiac CTA. In this paper, we propose a model-guided approach, the directional minimal path, for the centerline extraction. The proposed method is based on the minimal path algorithm and a prior coronary model is used. The model is first registered to the unseen image. Then, the start point and end point for the minimal path algorithm are provided by the model to automate the centerline extraction process. Also, the direction information of the coronary model is used to guide the path tracking of the minimal path procedure. This directional tracking improves the robustness and accuracy of the centerline extraction. Finally, the proposed method can automatically recognize the branches of the extracted coronary artery using the prior information in the model. We validated the proposed method by extracting the three main coronary branches. The mean accuracy of the 56 cases was 1.32±0.81 mm and the detection ratio was 88.7%. © 2013 Springer-Verlag.

Involved external institutions

How to cite

APA:

Liu, L., Shi, W., Rueckert, D., Hu, M., Ourselin, S., & Zhuang, X. (2013). Model-guided directional minimal path for fully automatic extraction of coronary centerlines from cardiac CTA. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 542-549). JPN.

MLA:

Liu, Liu, et al. "Model-guided directional minimal path for fully automatic extraction of coronary centerlines from cardiac CTA." Proceedings of the 16th International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2013, JPN 2013. 542-549.

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