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Please use this identifier to cite or link to this item: http://hdl.handle.net/1807/18822

Title: Hardware Acceleration of a Monte Carlo Simulation for Photodynamic Therapy Treatment Planning
Authors: Lo, William Chun Yip
Advisor: Lilge, Lothar
Rose, Jonathan S.
Department: Medical Biophysics
Keywords: Photodynamic therapy
Hardware acceleration
Monte Carlo simulation
Treatment planning
Graphics processing unit (GPU)
Field programmable gate array (FPGA)
Issue Date: 15-Feb-2010
Abstract: Monte Carlo (MC) simulations are widely used in the field of medical biophysics, particularly for modelling light propagation in biological tissue. The iterative nature of MC simulations and their high computation time currently limit their use to solving the forward solution for a given set of source characteristics and tissue optical properties. However, applications such as photodynamic therapy treatment planning or image reconstruction in diffuse optical tomography require solving the inverse problem given a desired light dose distribution or absorber distribution, respectively. A faster means for performing MC simulations would enable the use of MC-based models for such tasks. In this thesis, a gold standard MC code called MCML was accelerated using two distinct hardware-based approaches, namely designing custom hardware on field-programmable gate arrays (FPGAs) and programming commodity graphics processing units (GPUs). Currently, the GPU-based approach is promising, offering approximately 1000-fold speedup with 4 GPUs compared to an Intel Xeon CPU.
URI: http://hdl.handle.net/1807/18822
Appears in Collections:Master
Department of Medical Biophysics - Master theses

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