@inproceedings{9c5e7ecf9e3a4cdf9e7bc3843f2173d6,
title = "A GPU-based framework for simulation of medical ultrasound",
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 realtime 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.",
keywords = "CT, GPU, Methods: Simulation, Modalities, Registration, Ultrasound, Visualization",
author = "Oliver Kutter and Athanasios Karamalis and Wolfgang Wein and Nassir Navab",
year = "2009",
doi = "10.1117/12.813636",
language = "English",
isbn = "9780819475121",
series = "Progress in Biomedical Optics and Imaging - Proceedings of SPIE",
booktitle = "Medical Imaging 2009",
note = "Medical Imaging 2009: Biomedical Applications in Molecular, Structural, and Functional Imaging ; Conference date: 08-02-2009 Through 10-02-2009",
}