DocumentCode :
1793119
Title :
Particle swarm optimisation algorithm for Monte Carlo-based inverse problem solving
Author :
Kholodtsova, M.N. ; Loschenov, V.B. ; Daul, Christian ; Blondel, Walter
Author_Institution :
Gen. Phys. Inst., Moscow, Russia
fYear :
2014
fDate :
June 30 2014-July 4 2014
Firstpage :
1
Lastpage :
1
Abstract :
For the estimation of in vivo tissue optical parameters based on spatially-resolved diffuse reflectance spectroscopy measures, a non-derivative Particle Swarm Optimisation approach was successfully applied as part of the inverse problem solving associated to forward Monte Carlo simulations to avoid trapping in local minima.
Keywords :
Monte Carlo methods; bio-optics; biological tissues; biomedical measurement; inverse problems; particle swarm optimisation; Monte Carlo-based inverse problem solving; in vivo tissue optical parameters; nonderivative particle swarm optimisation algorithm; spatially-resolved diffuse reflectance spectroscopy; Biomedical optical imaging; Integrated optics; Noise; Optical noise; Optical reflection; Optical variables measurement; Monte Carlo simulation; inverse problem; particle swarm optimisation; spectroscopy;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Laser Optics, 2014 International Conference
Conference_Location :
Saint Petersburg
Print_ISBN :
978-1-4799-3884-1
Type :
conf
DOI :
10.1109/LO.2014.6886459
Filename :
6886459
Link To Document :
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