Doronin Alexander, Meglinski Igor
Jack Dodd Centre for Quantum Technology, Department of Physics, University of Otago, P.O. Box 56, Dunedin, 9054, New Zealand.
Biomed Opt Express. 2011 Sep 1;2(9):2461-9. doi: 10.1364/BOE.2.002461. Epub 2011 Jul 29.
Conceptual engineering design and optimization of laser-based imaging techniques and optical diagnostic systems used in the field of biomedical optics requires a clear understanding of the light-tissue interaction and peculiarities of localization of the detected optical radiation within the medium. The description of photon migration within the turbid tissue-like media is based on the concept of radiative transfer that forms a basis of Monte Carlo (MC) modeling. An opportunity of direct simulation of influence of structural variations of biological tissues on the probing light makes MC a primary tool for biomedical optics and optical engineering. Due to the diversity of optical modalities utilizing different properties of light and mechanisms of light-tissue interactions a new MC code is typically required to be developed for the particular diagnostic application. In current paper introducing an object oriented concept of MC modeling and utilizing modern web applications we present the generalized online computational tool suitable for the major applications in biophotonics. The computation is supported by NVIDEA CUDA Graphics Processing Unit providing acceleration of modeling up to 340 times.
生物医学光学领域中基于激光的成像技术和光学诊断系统的概念性工程设计与优化,需要清楚地了解光与组织的相互作用以及检测到的光辐射在介质中的定位特性。在浑浊的类组织介质中光子迁移的描述基于辐射传输概念,这构成了蒙特卡罗(MC)建模的基础。直接模拟生物组织结构变化对探测光的影响的可能性,使MC成为生物医学光学和光学工程的主要工具。由于利用光的不同特性和光与组织相互作用机制的光学模态多种多样,通常需要为特定的诊断应用开发新的MC代码。在当前论文中,引入面向对象的MC建模概念并利用现代网络应用,我们展示了适用于生物光子学主要应用的通用在线计算工具。该计算由英伟达CUDA图形处理单元支持,可将建模加速高达340倍。