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Proceedings Paper

Analysis of light incident location and detector position in early diagnosis of knee osteoarthritis by Monte Carlo simulation
Author(s): Yanping Chen; Yisha Chen; Huangping Yan; Xiaoling Wang
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Paper Abstract

Early detection of knee osteoarthritis (KOA) is meaningful to delay or prevent the onset of osteoarthritis. In consideration of structural complexity of knee joint, position of light incidence and detector appears to be extremely important in optical inspection. In this paper, the propagation of 780-nm near infrared photons in three-dimensional knee joint model is simulated by Monte Carlo (MC) method. Six light incident locations are chosen in total to analyze the influence of incident and detecting location on the number of detected signal photons and signal to noise ratio (SNR). Firstly, a three-dimensional photon propagation model of knee joint is reconstructed based on CT images. Then, MC simulation is performed to study the propagation of photons in three-dimensional knee joint model. Photons which finally migrate out of knee joint surface are numerically analyzed. By analyzing the number of signal photons and SNR from the six given incident locations, the optimal incident and detecting location is defined. Finally, a series of phantom experiments are conducted to verify the simulation results. According to the simulation and phantom experiments results, the best incident location is near the right side of meniscus at the rear end of left knee joint and the detector is supposed to be set near patella, correspondingly.

Paper Details

Date Published: 5 January 2017
PDF: 6 pages
Proc. SPIE 10245, International Conference on Innovative Optical Health Science, 1024505 (5 January 2017); doi: 10.1117/12.2265166
Show Author Affiliations
Yanping Chen, Xiamen Univ. (China)
Yisha Chen, Xiamen Univ. (China)
Huangping Yan, Xiamen Univ. (China)
Xiaoling Wang, Xiamen Univ. (China)


Published in SPIE Proceedings Vol. 10245:
International Conference on Innovative Optical Health Science
Xingde Li; Qingming Luo, Editor(s)

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