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Proceedings Paper

Hardware-accelerated multimodality volume fusion
Author(s): Helen Hong; Juhee Bae; Heewon Kye; Yeong-Gil Shin
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Paper Abstract

In this paper, we propose a novel technique of multimodality volume fusion using a graphics hardware. Our 3D texture based volume fusion algorithm consists of three steps: First, two volumes of different modalities are loaded into the texture memory in the GPU. Second, textured slices of two volumes along the same proxy geometry are combined with various compositing functions. Third, all the composited slices are alpha blended. We have implemented our algorithm using HLSL (High Level Shader Language). Our method shows that the exact depth of each volume and the realistic views with interactive rate in comparison with the software-based image integration. Experimental results using MR and PET brain images and the angiography with a stent show that over composting operation is more useful for clinical application.

Paper Details

Date Published: 12 April 2005
PDF: 7 pages
Proc. SPIE 5744, Medical Imaging 2005: Visualization, Image-Guided Procedures, and Display, (12 April 2005); doi: 10.1117/12.594578
Show Author Affiliations
Helen Hong, Seoul National Univ. (South Korea)
Juhee Bae, Seoul National Univ. (South Korea)
Heewon Kye, Seoul National Univ. (South Korea)
Yeong-Gil Shin, Seoul National Univ. (South Korea)


Published in SPIE Proceedings Vol. 5744:
Medical Imaging 2005: Visualization, Image-Guided Procedures, and Display
Robert L. Galloway; Kevin R. Cleary, Editor(s)

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