Title

Segmentation of neighboring organs in medical image with model competition

Authors

Authors

P. Yan; W. J. Shen; A. A. Kassim;M. Shah

Comments

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Keywords

ACTIVE CONTOURS; SHAPE; PROPAGATION; Computer Science, Information Systems; Computer Science, Theory &; Methods; Radiology, Nuclear Medicine & Medical Imaging

Abstract

This paper presents a novel approach for image segmentation by introducing competition between neighboring shape models. Our method is motivated by the observation that evolving neighboring contours should avoid overlapping with each other and this should be able to aid in multiple neighboring objects segmentation. A novel energy functional is proposed, which incorporates both prior shape information and interactions between deformable models. Accordingly, we also propose an extended maximum a posteriori (MAP) shape estimation model to obtain the shape estimate of the organ. The contours evolve under the influence of image information, their own shape priors and neighboring MAP shape estimations using level set methods to recover organ shapes. Promising results and comparisons from experiments on both synthetic data and medical imagery demonstrate the potential of our approach.

Journal Title

Medical Image Computing and Computer-Assisted Intervention - Miccai 2005, Pt 1

Volume

3749

Publication Date

1-1-2005

Document Type

Article

Language

English

First Page

270

Last Page

277

WOS Identifier

WOS:000233337000034

ISSN

0302-9743; 3-540-29327-2

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