We report on the design, implementation and characterization of a multi-graphic processing unit (GPU) computational platform for higher-order optimization in radiotherapy treatment planning. In collaboration with a commercial vendor (Varian Medical Systems, Palo Alto, CA), a research prototype GPU-enabled Eclipse (V13.6) workstation was configured. The hardware consisted of dual 8-core Xeon processors, 256 GB RAM and four NVIDIA Tesla K80 general purpose GPUs. We demonstrate the utility of this platform for large radiotherapy optimization problems through the development and characterization of a parallelized particle swarm optimization (PSO) four dimensional (4D) intensity modulated radiation therapy (IMRT) technique. The PSO engine was coupled to the Eclipse treatment planning system via a vendor-provided scripting interface. Specific challenges addressed in this implementation were (i) data management and (ii) non-uniform memory access (NUMA). For the former, we alternated be...
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Abstract Assessment of water quality status of a river with respect to its discharge has become prerequisite to sustainable river basin man...
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Abstract Objectives Patients undergoing osteoporosis treatment benefit greatly from early detection. We previously developed a computer-...
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Publication date: Available online 20 March 2018 Source: Oral Surgery, Oral Medicine, Oral Pathology and Oral Radiology Author(s): Tobia...
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Cerebral Microbleeds: Imaging and Clinical Significance. Radiology. 2018 Apr;287(1):11-28 Authors: Haller S, Vernooij MW, Kuij...
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by Alison M. Hixon, Guixia Yu, J. Smith Leser, Shigeo Yagi, Penny Clarke, Charles Y. Chiu, Kenneth L. Tyler In 2014, the United States exp...
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