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Proceedings Paper

Medical image segmentation using improved active contour model
Author(s): Jie Tian; Fuping Zhu; Xiping Luo
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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. Firstly the accurate segmented results of one or more slices in a medical image series are obtained by the livewire algorithm and the watershed transform. Based on the segmentation of previous slices, the computer will segment the nearby slice using the modified active contour model automatically. To make full use of the correlative information between contiguous slices, we introduce a gray-scale model to the boundary points of the active contour model to record the local region characters of the desired object in the segmented slice and scale model. Moreover we introduce the active region concept of the snake to improve the segmentation accuracy. Experiment shows that our algorithm can obtain the boundary of the desired object from a series of medical images quickly and reliably with only little user intervention.

Paper Details

Date Published: 8 December 2003
PDF: 10 pages
Proc. SPIE 5254, Third International Conference on Photonics and Imaging in Biology and Medicine, (8 December 2003); doi: 10.1117/12.546143
Show Author Affiliations
Jie Tian, Institute of Automation (China)
Fuping Zhu, Institute of Automation (China)
Xiping Luo, Institute of Automation (China)


Published in SPIE Proceedings Vol. 5254:
Third International Conference on Photonics and Imaging in Biology and Medicine
Qingming Luo; Valery V. Tuchin; Min Gu; Lihong V. Wang, Editor(s)

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