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Mapping High-Fidelity Volume Rendering for Medical Imaging to CPU, GPU and Many-Core Architectures
November/December 2009 (vol. 15 no. 6)
pp. 1563-1570
ASCII Text
x 
 
Mikhail Smelyanskiy, David Holmes, Jatin Chhugani, Alan Larson, Douglas M. Carmean, Dennis Hanson, Pradeep Dubey, Kurt Augustine, Daehyun Kim, Alan Kyker, Victor W. Lee, Anthony D. Nguyen, Larry Seiler, Richard Robb, "Mapping High-Fidelity Volume Rendering for Medical Imaging to CPU, GPU and Many-Core Architectures," IEEE Transactions on Visualization and Computer Graphics, vol. 15, no. 6, pp. 1563-1570, November/December, 2009.
 
 
BibTex
x
 
@article{ 10.1109/TVCG.2009.164,
author = {Mikhail Smelyanskiy and David Holmes and Jatin Chhugani and Alan Larson and Douglas M. Carmean and Dennis Hanson and Pradeep Dubey and Kurt Augustine and Daehyun Kim and Alan Kyker and Victor W. Lee and Anthony D. Nguyen and Larry Seiler and Richard Robb},
title = {Mapping High-Fidelity Volume Rendering for Medical Imaging to CPU, GPU and Many-Core Architectures},
journal ={IEEE Transactions on Visualization and Computer Graphics},
volume = {15},
number = {6},
issn = {1077-2626},
year = {2009},
pages = {1563-1570},
doi = {http://doi.ieeecomputersociety.org/10.1109/TVCG.2009.164},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - JOUR
JO - IEEE Transactions on Visualization and Computer Graphics
TI - Mapping High-Fidelity Volume Rendering for Medical Imaging to CPU, GPU and Many-Core Architectures
IS - 6
SN - 1077-2626
SP1563
EP1570
EPD - 1563-1570
A1 - Mikhail Smelyanskiy,
A1 - David Holmes,
A1 - Jatin Chhugani,
A1 - Alan Larson,
A1 - Douglas M. Carmean,
A1 - Dennis Hanson,
A1 - Pradeep Dubey,
A1 - Kurt Augustine,
A1 - Daehyun Kim,
A1 - Alan Kyker,
A1 - Victor W. Lee,
A1 - Anthony D. Nguyen,
A1 - Larry Seiler,
A1 - Richard Robb,
PY - 2009
KW - Volume Compositing
KW - Parallel Processing
KW - Many-core Computing
KW - Medical Imaging
KW - Graphics Architecture
KW - GPGPU
VL - 15
JA - IEEE Transactions on Visualization and Computer Graphics
ER -
 
Mikhail Smelyanskiy, Intel Corporation
David Holmes, Mayo Clinic
Jatin Chhugani, Intel Corporation
Alan Larson, Mayo Clinic
Douglas M. Carmean, Intel Corporation
Dennis Hanson, Mayo Clinic
Pradeep Dubey, Intel Corporation
Kurt Augustine, Mayo Clinic
Daehyun Kim, Intel Corporation
Alan Kyker, Intel Corporation
Victor W. Lee, Intel Corporation
Anthony D. Nguyen, Intel Corporation
Larry Seiler, Intel Corporation
Richard Robb, Mayo Clinic
Medical volumetric imaging requires high fidelity, high performance rendering algorithms. We motivate and analyze new volumetric rendering algorithms that are suited to modern parallel processing architectures. First, we describe the three major categories of volume rendering algorithms and confirm through an imaging scientist-guided evaluation that ray-casting is the most acceptable. We describe a thread- and data-parallel implementation of ray-casting that makes it amenable to key architectural trends of three modern commodity parallel architectures: multi-core, GPU, and an upcoming many-core Intel® architecture code-named Larrabee. We achieve more than an order of magnitude performance improvement on a number of large 3D medical datasets. We further describe a data compression scheme that significantly reduces data-transfer overhead. This allows our approach to scale well to large numbers of Larrabee cores.

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Index Terms:
Volume Compositing, Parallel Processing, Many-core Computing, Medical Imaging, Graphics Architecture, GPGPU
Citation:
Mikhail Smelyanskiy, David Holmes, Jatin Chhugani, Alan Larson, Douglas M. Carmean, Dennis Hanson, Pradeep Dubey, Kurt Augustine, Daehyun Kim, Alan Kyker, Victor W. Lee, Anthony D. Nguyen, Larry Seiler, Richard Robb, "Mapping High-Fidelity Volume Rendering for Medical Imaging to CPU, GPU and Many-Core Architectures," IEEE Transactions on Visualization and Computer Graphics, vol. 15, no. 6, pp. 1563-1570, Nov.-Dec. 2009, doi:10.1109/TVCG.2009.164
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