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一种用于表征光脉冲在非均匀生物组织中传播的近似数值技术。

An approximate numerical technique for characterizing optical pulse propagation in inhomogeneous biological tissue.

作者信息

Handapangoda Chintha C, Premaratne Malin

机构信息

Advanced Computing and Simulation Laboratory (AXL), Department of Electrical and Computer Systems Engineering, Monash University, Clayton, 3800 VIC, Australia.

出版信息

J Biomed Biotechnol. 2008;2008:784354. doi: 10.1155/2008/784354.

DOI:10.1155/2008/784354
PMID:18317526
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC2248613/
Abstract

An approximate numerical technique for modeling optical pulse propagation through weakly scattering biological tissue is developed by solving the photon transport equation in biological tissue that includes varying refractive index and varying scattering/absorption coefficients. The proposed technique involves first tracing the ray paths defined by the refractive index profile of the medium by solving the eikonal equation using a Runge-Kutta integration algorithm. The photon transport equation is solved only along these ray paths, minimizing the overall computational burden of the resulting algorithm. The main advantage of the current algorithm is that it enables to discretise the pulse propagation space adaptively by taking optical depth into account. Therefore, computational efficiency can be increased without compromising the accuracy of the algorithm.

摘要

通过求解包含可变折射率以及可变散射/吸收系数的生物组织中的光子输运方程,开发了一种用于模拟光脉冲在弱散射生物组织中传播的近似数值技术。所提出的技术首先通过使用龙格 - 库塔积分算法求解程函方程来追踪由介质折射率分布定义的光线路径。仅沿着这些光线路径求解光子输运方程,从而最小化所得算法的整体计算负担。当前算法的主要优点是它能够通过考虑光学深度来自适应地离散脉冲传播空间。因此,可以在不影响算法准确性的情况下提高计算效率。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6c42/2248613/426867e42b67/JBB2008-784354.005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6c42/2248613/a2fb1a657f8d/JBB2008-784354.001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6c42/2248613/09134df89ded/JBB2008-784354.002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6c42/2248613/41bf9fac8110/JBB2008-784354.003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6c42/2248613/14edc10bc0a3/JBB2008-784354.004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6c42/2248613/426867e42b67/JBB2008-784354.005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6c42/2248613/a2fb1a657f8d/JBB2008-784354.001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6c42/2248613/09134df89ded/JBB2008-784354.002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6c42/2248613/41bf9fac8110/JBB2008-784354.003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6c42/2248613/14edc10bc0a3/JBB2008-784354.004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6c42/2248613/426867e42b67/JBB2008-784354.005.jpg

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