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Computational and Mathematical Methods in Medicine
Volume 2013, Article ID 345968, 11 pages
Research Article

Ultrasound Common Carotid Artery Segmentation Based on Active Shape Model

1State Key Laboratory for Multispectral Information Processing Technologies, Institute for Pattern Recognition and Artificial Intelligence (IPRAI), Huazhong University of Science and Technology (HUST), Wuhan, Hubei 430074, China
2Department of Biomedical Engineering, College of Life Science and Technology, Image Processing and Intelligence Control Key Laboratory of Education of Ministry of China, Huazhong University of Science and Technology (HUST), Wuhan, Hubei 430074, China
3Biomedical Instrument Institute, Med-X Research Institute, Shanghai Jiaotong University, Shanghai 200030, China

Received 20 December 2012; Revised 29 January 2013; Accepted 31 January 2013

Academic Editor: Peng Feng

Copyright © 2013 Xin Yang et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Supplementary Material

Supplementary movie I: It includes both training and testing for ASM CCA segmentation. Mean shape (blue) is generated by the training dataset (green contours with red points). Final contour (red) of testing dataset is generated from the mean shape evaluation (blue contour with red points).

Supplementary movie II: It is an ASM MAB segmentation process demonstration. Locate the mean shape (blue) from training dataset on the artery from the test dataset, and potential contour (blue contour with red points) will automatically stop iteration at the final contour (red).

  1. Supplementary Movie I
  2. Supplementary Movie II