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Proceedings Paper

Feature-based rendering for 2D/3D partial volume segmentation datasets
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Paper Abstract

In this paper, a new feature based rendering algorithm for partial volume is presented. This algorithm utilizes both surface and volume information for the rendering of the partial volume segmentation data with associated features. First principal directions are extracted from the partial volume segmentation dataset to construct a feature vector dataset. Using the improved LIC (line integral convolution) algorithm, our rendering algorithm can integrate the feature dataset into the traditional volume rendering process. Combining the features and the traditional volume rendering, the partial volume could be visualized clearly. This can result in an improved diagnosis in clinic, because the partial volume quantities carry very rich diagnostic information.

Paper Details

Date Published: 17 May 2002
PDF: 7 pages
Proc. SPIE 4681, Medical Imaging 2002: Visualization, Image-Guided Procedures, and Display, (17 May 2002); doi: 10.1117/12.466978
Show Author Affiliations
Zigang Wang, SUNY/Stony Brook (United States)
Zhengrong Liang, SUNY/Stony Brook (United States)

Published in SPIE Proceedings Vol. 4681:
Medical Imaging 2002: Visualization, Image-Guided Procedures, and Display
Seong Ki Mun, Editor(s)

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