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Proceedings Paper

Rapid deployment of a Monte Carlo simulation system using diskless remote boot in Linux in a PACS environment
Author(s): Yuan-Jen Chang; Yan-Lin Liu; Cheng-Ting Shih; Shu-Jun Chang; Jay Wu
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Paper Abstract

The Monte Carlo (MC) technique has been widely used as the gold standard for interaction of radiation with matter in the fields of medical physics, radiation therapy, and nuclear medicine. However, MC simulation is time consuming and requires a lot of computational resources. Generally, a dedicated high performance computing cluster is use to improve efficiency, but it is costly and lacks of the ability to run routine errands in healthcare facilities. In this study, we proposed a method for rapid deployment of computing platform for MC simulation in the PACS environment using review workstations as computing nodes. The workstations were booted from the network and initialed a RAM disk as the boot sector. The simplified Linux operating system and the Monte Carlo N-Particle Transport Code Version 5 (MCNP5) were transferred from the DRBL (Diskless Remote Boot in Linux) server to each node automatically. The cluster computing environment can be established within four minutes. We compared a commercially available dedicated cluster with the DRBL cluster. The results showed that the commercial cluster had a slightly higher acceleration factor than the DRBL cluster. The simulation time of the commercial and the DRBL clusters for 2×108 particle histories was 37,151 and 40,021 sec, respectively. When the number of rendezvous increased to 20, the maximum time differences between both clusters were 95 and 85 sec for the megabit and the gigabit switches. We conclude that the DRBL cluster can be quickly deployed to the non-workloaded review workstations in the PACS. Thus, the MC technique could be broadly used to enhance the research capability of radiological sciences in healthcare facilities.

Paper Details

Date Published: 29 March 2013
PDF: 13 pages
Proc. SPIE 8674, Medical Imaging 2013: Advanced PACS-based Imaging Informatics and Therapeutic Applications, 86740T (29 March 2013); doi: 10.1117/12.2007731
Show Author Affiliations
Yuan-Jen Chang, Central Taiwan Univ. of Science and Technology (Taiwan)
Yan-Lin Liu, National Tsing Hua Univ. (Taiwan)
Cheng-Ting Shih, National Tsing Hua Univ. (Taiwan)
Shu-Jun Chang, Institute of Nuclear Energy Research (Taiwan)
Jay Wu, China Medical Univ. (Taiwan)

Published in SPIE Proceedings Vol. 8674:
Medical Imaging 2013: Advanced PACS-based Imaging Informatics and Therapeutic Applications
Maria Y. Law; William W. Boonn, Editor(s)

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