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Proceedings Paper

3D ultrasound image segmentation using multiple incomplete feature sets
Author(s): Liexiang Fan; David M. Herrington; Peter Santago
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Paper Abstract

We use three features, the intensity, texture and motion to obtain robust results for segmentation of intracoronary ultrasound images. Using a parameterized equation to describe the lumen-plaque and media-adventitia boundaries, we formulate the segmentation as a parameter estimation through a cost functional based on the posterior probability, which can handle the incompleteness of the features in ultrasound images by employing outlier detection.

Paper Details

Date Published: 21 May 1999
PDF: 9 pages
Proc. SPIE 3661, Medical Imaging 1999: Image Processing, (21 May 1999); doi: 10.1117/12.348655
Show Author Affiliations
Liexiang Fan, Bowman Gray School of Medicine/Wake Forest Univ. (United States)
David M. Herrington, Bowman Gray School of Medicine/Wake Forest Univ. (United States)
Peter Santago, Bowman Gray School of Medicine/Wake Forest Univ. (United States)


Published in SPIE Proceedings Vol. 3661:
Medical Imaging 1999: Image Processing
Kenneth M. Hanson, Editor(s)

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