By Topic

Variance reduction of Monte-Carlo radiation transport via scalar flux continuity — A practical radiation treatment planning approach

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

4 Author(s)
Mendenhall, M.H. ; Dept. of Electr. Eng. & Comput. Sci., Vanderbilt Univ., Nashville, TN, USA ; McMahon, S.J. ; Muir, M. ; Currell, F.

We present a new class of methods for variance reduction of Monte-Carlo simulations of radiation transport in inhomogeneous media and also present specific implementations from this new class. The intended application is cancer therapy dose planning although it is likely to find application in other domains. The technique takes advantage of the continuity equations for flux which underlie the transport. Instead of smoothing dose after a calculation, we smooth something which is proportional to the local scalar fluence by pre-scaling the data before smoothing, and then re-scaling afterwards. This allows true sharp edges in the dose, which result from discontinuities in the tissue (bone to soft tissue, for example), while allowing very aggressive smoothing of the fluence, which is a very smooth function. This allows multiple order-of-magnitude reductions in the computational effort to achieve a given level of statistical smoothness in a therapy plan thereby dramatically reducing the computational time requirements for full Monte-Carlo based therapy planning, making such planning routinely possible even with quite modest computational resources.

Published in:

Nuclear Science Symposium Conference Record (NSS/MIC), 2010 IEEE

Date of Conference:

Oct. 30 2010-Nov. 6 2010