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Proceedings Paper

Adaptive segmentation of an x-ray CT image using vector quantization
Author(s): Lihua Li; Wei Qian; Laurence P. Clarke
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Paper Abstract

This paper is part of a feasibility study of using an image segmentation method to automatically identify the tumor or target boundaries in each axial slice or to assist an expert physician to manually draw these boundaries.A two-stage segmentation method is proposed. In the first step, the outlying bone structure is removed from the raw CT data and the brain parenchymal area is extracted. Then a VQ-based method is applied for the segmentation of the soft tissue inside the brain area. Representative results for two sets of x-ray CT axial slice images from tow patients are presented. Problems and further modifications are discussed.

Paper Details

Date Published: 25 April 1997
PDF: 9 pages
Proc. SPIE 3034, Medical Imaging 1997: Image Processing, (25 April 1997); doi: 10.1117/12.274174
Show Author Affiliations
Lihua Li, Univ. of South Florida and H. Lee Moffitt Cancer Ctr. and Research Institute (United States)
Wei Qian, Univ. of South Florida and H. Lee Moffitt Cancer Ctr. and Research Institute (United States)
Laurence P. Clarke, Univ. of South Florida and H. Lee Moffitt Cancer Ctr. and Reserach Institute (United States)


Published in SPIE Proceedings Vol. 3034:
Medical Imaging 1997: Image Processing
Kenneth M. Hanson, Editor(s)

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