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Proceedings Paper

A GPU-based framework for simulation of medical ultrasound
Author(s): Oliver Kutter; Athanasios Karamalis; Wolfgang Wein; Nassir Navab
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Paper Abstract

Simulation of ultrasound (US) images from volumetric medical image data has been shown to be an important tool in medical image analysis. However, there is a trade off between the accuracy of the simulation and its real-time performance. In this paper, we present a framework for acceleration of ultrasound simulation on the graphics processing unit (GPU) of commodity computer hardware. Our framework can accommodate ultrasound modeling with varying degrees of complexity. To demonstrate the flexibility of our proposed method, we have implemented several models of acoustic propagation through 3D volumes. We conducted multiple experiments to evaluate the performance of our method for its application in multi-modal image registration and training. The results demonstrate the high performance of the GPU accelerated simulation outperforming CPU implementations by up to two orders of magnitude and encourage the investigation of even more realistic acoustic models.

Paper Details

Date Published: 13 March 2009
PDF: 9 pages
Proc. SPIE 7261, Medical Imaging 2009: Visualization, Image-Guided Procedures, and Modeling, 726117 (13 March 2009); doi: 10.1117/12.813636
Show Author Affiliations
Oliver Kutter, CAMP, Technische Univ. München (Germany)
Athanasios Karamalis, CAMP, Technische Univ. München (Germany)
Wolfgang Wein, Siemens Corporate Research (United States)
Nassir Navab, CAMP, Technische Univ. München (Germany)

Published in SPIE Proceedings Vol. 7261:
Medical Imaging 2009: Visualization, Image-Guided Procedures, and Modeling
Michael I. Miga; Kenneth H. Wong, Editor(s)

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