DocumentCode :
3330874
Title :
Multipurpose Monte Carlo simulator for photon transport in turbid media
Author :
Guerra, Pedro ; Aguirre, Juan ; Ortuno, Juan E. ; Ledesma-Carbayo, Maria J. ; Vaquero, Juan J. ; Desco, Manuel ; Santos, Andres
Author_Institution :
Res. Centre for Bioeng., Biomater. & Nanomed., Zaragoza, Spain
fYear :
2009
fDate :
Oct. 24 2009-Nov. 1 2009
Firstpage :
3845
Lastpage :
3848
Abstract :
Monte Carlo methods provide a flexible and rigorous solution to the problem of light transport in turbid media, which enable approaching complex geometries for a closed analytical solution is not feasible. The simulator implements local rules of propagation in the form of probability density functions that depend on the local optical properties of the tissue. This work presents a flexible simulator that can be applied in multiple applications related to optical tomography. In particular, unlike previous codes, the simulator explicitly supports fluorescent-tissues and variance reduction and code parallelization techniques are implemented in order to speed up the execution with fluorochrome-labelled agents. The simulator is validated with simple geometries for which an analytical solution exists, as well as with an experimental polyester resin based optical phantom.
Keywords :
Monte Carlo methods; optical properties; optical tomography; phantoms; photon production; photon transport theory; probability; complex geometries; experimental polyester resin; fluorochrome-labelled agents; multipurpose Monte Carlo simulator; optical phantom; optical tomography; photon propagation; photon transport; probability density functions; tissues local optical properties; turbid media; Analytical models; Fluorescence; Geometrical optics; Information geometry; Monte Carlo methods; Optical propagation; Probability density function; Resins; Solid modeling; Tomography;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Nuclear Science Symposium Conference Record (NSS/MIC), 2009 IEEE
Conference_Location :
Orlando, FL
ISSN :
1095-7863
Print_ISBN :
978-1-4244-3961-4
Electronic_ISBN :
1095-7863
Type :
conf
DOI :
10.1109/NSSMIC.2009.5401911
Filename :
5401911
Link To Document :
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