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Proceedings Paper

Improvement of the frequency-domain inverse Monte Carlo simulation
Author(s): Huijuan Zhao; Xiaoqing Zhou; Shuying Zhang; Zhuanping Qin; Feng Gao
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Paper Abstract

This article aims at the optical property (absorption coefficient and scatter coefficient) reconstruction from the frequency-domain (FD) near-infrared diffuse measurement on small tissues, such as a cervix, for which inverse Monte Carlo (MC) simulation is the suitable choice. To achieve the fast and accurate reconstruction based on the inverse Monte Carlo simulation, following techniques were adopted. First, in the forward calculation, a database, which include the frequency-domain information calculated from MC simulation for a series of optical parameters of tissue, were established with fast methods. Then, in the reconstruction procedure, Levenberg-Marquardt (L-M) optimization was adopted and Multiple Polynomial Regression (MPR) method was used to rapidly get the FD information at any optical properties by best fitting the curved surface formed by the above database. At Last, in the reconstruction, to eliminate the influence of the initial guess of optical properties on the reconstruction accuracy, cluster analysis method was introduced into L-M reconstruction algorithm to determine the region of the initial guess. The reconstruction algorithm was demonstrated with simulation data. The results showed that it takes less than 0.5s to reconstruction one set of optical properties. The average relative error from the reconstruction algorithm joined with cluster analysis is 10% lower than that without cluster analysis.

Paper Details

Date Published: 9 November 2010
PDF: 9 pages
Proc. SPIE 7845, Optics in Health Care and Biomedical Optics IV, 78451Y (9 November 2010); doi: 10.1117/12.868460
Show Author Affiliations
Huijuan Zhao, Tianjin Univ. (China)
Xiaoqing Zhou, Tianjin Univ. (China)
Shuying Zhang, Tianjin Univ. (China)
Zhuanping Qin, Tianjin Univ. (China)
Feng Gao, Tianjin Univ. (China)


Published in SPIE Proceedings Vol. 7845:
Optics in Health Care and Biomedical Optics IV
Qingming Luo; Ying Gu; Xingde Li, Editor(s)

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