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Proceedings Paper

Active-contour-based segmentation of medical image series
Author(s): Yao Lin; Jie Tian; Huiguang He; Xingfei Ge; Fuping Zhu
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Paper Abstract

In this paper, an algorithm for the semiautomatic segmentation of medical image series is proposed by combining the live wire algorithm and the active contour model. First, we use the robust anisotropic diffusion filtering to smooth the images while keeping the edges. Then we modify the traditional live wire algorithm by combining it with the watershed method. Using the improved live wire method, the accurate segmentation of one or more medical images could be obtained firstly. Based on the segmentation of previous slices, the computer will segment the nearby slices using the modified active contour model automatically. To make full use of the correlative information between contiguous slices, a gray-scale model is applied to the model to record the local region characters of the desired object, and a new functional definition of the external energy is designed. Furthermore, in order to be adaptable with the topological change of the nearby slices, affine cell image decomposition is applied to the active contour model. The experiment results show that this algorithm can recover the boundary of the desired object from a series of medical images quickly and reliably with only little user intervention.

Paper Details

Date Published: 13 May 2002
PDF: 11 pages
Proc. SPIE 4615, Biomedical Diagnostic, Guidance, and Surgical-Assist Systems IV, (13 May 2002); doi: 10.1117/12.466649
Show Author Affiliations
Yao Lin, Institute of Automation (China)
Jie Tian, Institute of Automation (China)
Huiguang He, Institute of Automation (China)
Xingfei Ge, Institute of Automation (China)
Fuping Zhu, Institute of Automation (China)

Published in SPIE Proceedings Vol. 4615:
Biomedical Diagnostic, Guidance, and Surgical-Assist Systems IV
Tuan Vo-Dinh; David A. Benaron; Warren S. Grundfest, Editor(s)

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