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Proceedings Paper

Frequency-domain inverse Monte Carlo simulation for the diagnosis of the early cervical cancer based on NIR diffuse measurement
Author(s): Huijuan Zhao; Shunqi Zhang; Zhaoxia Wang; Hui Miao; Zhen Du; Jingying Jiang
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Paper Abstract

This article aims at the optical parameter reconstruction technology for the frequency- domain measurement of near-infrared diffused light. For mimicking the cervix, a cylindrical model with hole in the middle is used in the simulation and experiments. Concerning the structure of the cervix, Monte-Carlo simulation is adopted for describing the photon migration in tissue and Perturbation Monte-Carlo is used for the reconstruction of the optical properties of cervix. The difficulties in the reconstruction of cervical optical properties with frequency domain measurement are the description of the tissue boundary, expression of the frequency-domain signal, and development of rapid reconstruction method for clinical use. To get the frequency domain signal in Monte Carlos simulation, discrete Fourier transformation of the photon migration history in time-domain is employed. By combining the perturbation Monte-Carlo simulation and the LM optimization technology, a rapid reconstruction algorithm is constructed, by which only one Monte-Carlo simulation is needed. The reconstruction method is validated by simulation and experiments on solid phantom. Simulation results show that the inaccuracy in reconstruction of absorption coefficient is less than 3% for a certain range of optical properties. The algorithm is also proved to be robust to the initial guess of optical properties and noise. Experimental results showed that the absorption coefficient can be reconstructed with inaccuracy of less than 10%. The absorption coefficient reconstruction for one set of measurement data can be fulfilled within one minute.

Paper Details

Date Published: 29 February 2008
PDF: 9 pages
Proc. SPIE 6859, Imaging, Manipulation, and Analysis of Biomolecules, Cells, and Tissues VI, 68591N (29 February 2008); doi: 10.1117/12.761510
Show Author Affiliations
Huijuan Zhao, Tianjin Univ. (China)
Shunqi Zhang, Tianjin Univ. (China)
Zhaoxia Wang, Tianjin Univ. (China)
Hui Miao, Tianjin Univ. (China)
Zhen Du, Tianjin Univ. (China)
Jingying Jiang, Tianjin Univ. (China)


Published in SPIE Proceedings Vol. 6859:
Imaging, Manipulation, and Analysis of Biomolecules, Cells, and Tissues VI
Daniel L. Farkas; Dan V. Nicolau; Robert C. Leif, Editor(s)

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