GPU-accelerated Monte-Carlo modeling for fluorescence propagation in turbid medium

Xi Yi; Weiting Chen; Linhui Wu; Wenjuan Ma; Wei Zhang; Jiao Li; Xin Wang; Feng Gao

doi:10.1117/12.902988

29 February 2012 GPU-accelerated Monte-Carlo modeling for fluorescence propagation in turbid medium

Xi Yi, Weiting Chen, Linhui Wu, Wenjuan Ma, Wei Zhang, Jiao Li, Xin Wang, Feng Gao

Proceedings Volume 8216, Multimodal Biomedical Imaging VII; 82160U (2012) https://doi.org/10.1117/12.902988
Event: SPIE BiOS, 2012, San Francisco, California, United States

Abstract

In biomedical optics, the Monte Carlo (MC) simulation is widely recognized as a gold standard for its high accuracy and versatility. However, in fluorescence regime, due to the requirement for tracing a huge number of the consecutive events of an excitation photon migration, the excitation-to-emission convention and the resultant fluorescent photon migration in tissue, the MC method is prohibitively time-consuming, especially when the tissue has an optically heterogeneous structure. To overcome the difficulty, we present a parallel implementation of MC modeling for fluorescence propagation in tissue, on the basis of the Graphics Processing Units (GPU) and the Compute Unified Device Architecture (CUDA) platform. By rationalizing the distribution of blocks and threads a certain number of photon migration procedures can be processed synchronously and efficiently, with the single-instruction-multiple-thread execution mode of GPU. We have evaluated the implementation for both homogeneous and heterogeneous scenarios by comparing with the conventional CPU implementations, and shown that the GPU method can obtain significant acceleration of about 20-30 times for fluorescence modeling in tissue, indicating that the GPU-based fluorescence MC simulation can be a practically effective tool for methodological investigations of tissue fluorescence spectroscopy and imaging.

Citation Download Citation

Xi Yi, Weiting Chen, Linhui Wu, Wenjuan Ma, Wei Zhang, Jiao Li, Xin Wang, and Feng Gao "GPU-accelerated Monte-Carlo modeling for fluorescence propagation in turbid medium", Proc. SPIE 8216, Multimodal Biomedical Imaging VII, 82160U (29 February 2012); https://doi.org/10.1117/12.902988

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available