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Proceedings Paper

Image segmentation and tissue characterization in three-dimensional intravascular ultrasound images
Author(s): Xiangmin Zhang; Steven C. DeJong; Charles R. McKay; Milan Sonka
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Paper Abstract

In this paper, we report an automated approach to plaque tissue characterization in three-dimensional intravascular ultrasound images. Our previously reported automated method for coronary wall and plaque segmentation in intravascular ultrasound pullback sequences represent the first step of the method. Tissue characterization into two classes of soft and hard plaque is based on texture analysis and pattern recognition. Texture description features included gray- level-based measures, co-occurrence matrices, run length measures, and fractal-based measures. Performance of the method was assessed in cadaveric coronary arteries by comparison to the observer-defined plaque composition. Overall classification correctness of 90% was achieved.

Paper Details

Date Published: 25 April 1997
PDF: 7 pages
Proc. SPIE 3034, Medical Imaging 1997: Image Processing, (25 April 1997); doi: 10.1117/12.274102
Show Author Affiliations
Xiangmin Zhang, Taligent Inc. (United States)
Steven C. DeJong, Univ. of Iowa (United States)
Charles R. McKay, Univ. of Iowa (United States)
Milan Sonka, Univ. of Iowa (United States)

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

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