Journal of Ultrasound in Medicine, Vol 19, Issue 11 771-782, Copyright © 2000 by American Institute of Ultrasound in Medicine

JOURNAL ARTICLE

Automatic prostate boundary recognition in sonographic images using feature model and genetic algorithm

R. Y. Wu, K. V. Ling and W. S. Ng
School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore, Singapore.

This paper describes the development of a model-based boundary recognition system for transrectal prostate ultrasonographic images. It consists of two techniques: boundary modeling and boundary searching with model constraints. To achieve higher specificity of the model, a method called feature modeling is derived from the existing point distribution modeling method. To improve the robustness of the searching technique, the genetic algorithm is used. Incremental genetic algorithm with crowding replacement and binary string chromosome type was found experimentally to give good search results. It was shown that the system could recognize the boundary with considerable accuracy and consistency within a few minutes in transrectal ultrasonographic images taken from approximate middle position of the prostate.

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				F. Shao, K. V. Ling, W. S. Ng, and R. Y. Wu Prostate Boundary Detection From Ultrasonographic Images J. Ultrasound Med., June 1, 2003; 22(6): 605 - 623. [Abstract] [Full Text] [PDF]