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Proceedings Paper

Computerized tomographic angiography image segmentation for 3D-volume reconstruction
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Paper Abstract

A computerized scheme for the automated segmentation of contrast enhanced arteries is developed for computerized tomographic angiography (CTA) data. Segmentation is performed with two-dimensional (2D) images on a slice-by-slice base. Image processing techniques include gray-level thresholding, eight-point connectivity tracking, region growing, moment analysis and morphological erosion. The results enable the generation of separated three-dimensional (3D) displays of both vascular and non-vascular structures. The method has been applied to several clinical cases and has shown great promises.

Paper Details

Date Published: 8 July 1994
PDF: 10 pages
Proc. SPIE 2299, Mathematical Methods in Medical Imaging III, (8 July 1994); doi: 10.1117/12.179256
Show Author Affiliations
Yun Liang, Indiana Univ. School of Medicine (United States)
Robert A. Kruger, Indiana Univ. School of Medicine (United States)

Published in SPIE Proceedings Vol. 2299:
Mathematical Methods in Medical Imaging III
Fred L. Bookstein; James S. Duncan; Nicholas Lange; David C. Wilson, Editor(s)

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