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

Zigang Wang; Zhengrong Liang

doi:10.1117/12.466978

17 May 2002 Feature-based rendering for 2D/3D partial volume segmentation datasets

Zigang Wang, Zhengrong Liang

Proceedings Volume 4681, Medical Imaging 2002: Visualization, Image-Guided Procedures, and Display; (2002) https://doi.org/10.1117/12.466978
Event: Medical Imaging 2002, 2002, San Diego, California, United States

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.

Citation Download Citation

Zigang Wang and Zhengrong Liang "Feature-based rendering for 2D/3D partial volume segmentation datasets", Proc. SPIE 4681, Medical Imaging 2002: Visualization, Image-Guided Procedures, and Display, (17 May 2002); https://doi.org/10.1117/12.466978

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