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GPU-accelerated object-oriented Monte Carlo modeling of photon migration in turbid media

机译:GPU加速的面向对象的浑浊介质中光子迁移的蒙特卡洛建模

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Due to the recent intense developments in lasers and optical technologies a number of novel revolutionary imaging and photonic-based diagnostic modalities have arisen. Utilizing various features of light these techniques provide new practical solutions in a range of biomedical, environmental and industrial applications. Conceptual engineering design of new optical diagnostic systems requires a clear understanding of the light-tissue interaction and the peculiarities of optical radiation propagation therein. Description of photon migration within the random media is based on the radiative transfer that forms a basis of Monte Carlo modelling of light propagation in complex turbid media like biological tissues. In current presentation with a further development of the Monte Carlo technique we introduce a novel Object-Oriented Programming (OOP) paradigm accelerated by Graphics Processing Unit that provide an opportunity to escalate the performance of standard Monte Carlo simulation over 100 times.
机译:由于激光和光学技术最近的迅猛发展,已经出现了许多新颖的革命性成像和基于光子的诊断方式。这些技术利用光的各种特征,为生物医学,环境和工业应用提供了新的实用解决方案。新的光学诊断系统的概念工程设计需要对光组织相互作用以及光辐射在其中的传播特性有清晰的了解。随机介质中光子迁移的描述是基于辐射传递的,该辐射传递形成了在诸如生物组织之类的复杂浑浊介质中光传播的蒙特卡罗建模的基础。在当前演示文稿中,随着蒙特卡洛技术的进一步发展,我们介绍了一种由图形处理单元加速的新颖的面向对象编程(OOP)范例,它提供了将标准蒙特卡洛模拟性能提高100倍的机会。

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