3D ultrasound image segmentation using multiple incomplete feature sets

Liexiang Fan; David M. Herrington; Peter Santago II

doi:10.1117/12.348655

21 May 1999 3D ultrasound image segmentation using multiple incomplete feature sets

Liexiang Fan, David M. Herrington, Peter Santago II

Proceedings Volume 3661, Medical Imaging 1999: Image Processing; (1999) https://doi.org/10.1117/12.348655
Event: Medical Imaging '99, 1999, San Diego, CA, United States

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.

Citation Download Citation

Liexiang Fan, David M. Herrington, and Peter Santago II "3D ultrasound image segmentation using multiple incomplete feature sets", Proc. SPIE 3661, Medical Imaging 1999: Image Processing, (21 May 1999); https://doi.org/10.1117/12.348655

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