NDLI: Coronary centerline extraction based on ostium detection and model-guided directional minimal path

Content Provider	IEEE Xplore Digital Library
Author	Liu Liu Wenzhe Shi Rueckert, D. Mingxing Hu Ourselin, S. Xiahai Zhuang
Copyright Year	2014
Description	Author affiliation: Shanghai Adv. Res. Inst., Shanghai, China (Xiahai Zhuang) \|\| Biomed. Image Anal. Group, Imperial Coll. London, London, UK (Wenzhe Shi; Rueckert, D.) \|\| Centre for Med. Image Comput., Univ. Coll. London, London, UK (Mingxing Hu; Ourselin, S.) \|\| Nanjing Univ. of Posts & Telecommun., Nanjing, China (Liu Liu)
Abstract	Extracting centerlines of coronary arteries is a challenging but important task in clinical applications of cardiac CTA. In this paper, we propose a new method to fully automatically extract the coronary centerlines. This method is based on automatic detection of ostia and the model-guided direction minimal path (DMP) framework. Both the reference positions of the ostia and the direction information are provided from a pre-constructed model. This model is first registered to the unseen CTA. Based on the registered initial positions, the two ostia of the coronary arteries are then automatically detected from the unseen CTA, using a learning-based algorithm. The detected ostia are then used as the starting points in the DMP, where the directional information of the coronary model is incorporated, to guide the path tracing procedure. This directional tracing improves the robustness of the coronary extraction. Finally, with an improved end point selection algorithm, the proposed method can extract the longest coronary centerline from a branch. We validated the proposed method by extracting the three main coronary branches.
Starting Page	133
Ending Page	136
File Size	1273613
Page Count	4
File Format	PDF
ISBN	9781467319614
DOI	10.1109/ISBI.2014.6867827
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-04-29
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Arteries Three-dimensional displays Boosting Feature extraction Robustness Image segmentation Training probability boosting tree Centerline coronary artery minimal path ostium detection
Content Type	Text
Resource Type	Article

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