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Proceedings Paper

Path integral based contour extraction method using multilevel metropolis sampling
Author(s): Yangguang Sun; Tian Lan; Xiaowei Fu; Mingyue Ding
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Paper Abstract

In this paper we proposed a novel path integral method using multilevel Metropolis sampling to extract the contours of interested objects of medical images, which is a quantum statistical approach inspired by the essential characteristics of quantum. The implemented multilevel Metropolis sampling is a fast approach to the sampling problem and can be used to sample any distribution function and calculate all actions for the movements of quantum particle towards the position with high probability density likely to be accepted. Comparing with traditional deformable models based on classical mechanics which are sensitive to the initialization of contour and difficult to adapt topology changes of the contour, our work has the capability to break through the limitations of deformable models and makes the boundary extraction in high noise and low contrast of medical images possible. Experiments were performed with synthetic and medical images and the feasibility and potential of our method was demonstrated.

Paper Details

Date Published: 6 March 2009
PDF: 10 pages
Proc. SPIE 7280, Seventh International Conference on Photonics and Imaging in Biology and Medicine, 72800I (6 March 2009); doi: 10.1117/12.823326
Show Author Affiliations
Yangguang Sun, Huazhong Univ. of Science and Technology (China)
Tian Lan, Huazhong Univ. of Science and Technology (China)
Xiaowei Fu, Huazhong Univ. of Science and Technology (China)
Mingyue Ding, Huazhong Univ. of Science and Technology (China)


Published in SPIE Proceedings Vol. 7280:
Seventh International Conference on Photonics and Imaging in Biology and Medicine
Qingming Luo; Lihong V. Wang; Valery V. Tuchin, Editor(s)

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