MONTE CARLO MODELING OF DIFFUSE LIGHT TRANSPORT

漫射光传输的蒙特卡洛建模

• 批准号: 8362593
• 负责人: VASAN VENUGOPALAN
• 金额: $ 3.11万
• 依托单位: UNIVERSITY OF CALIFORNIA-IRVINE
• 依托单位国家: 美国
• 财政年份: 2011
• 资助国家: 美国
• 起止时间: 2011-04-01 至 2012-03-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8362593
• 关键词: Biotechnology; Data; Development; Diffuse; Epithelial; Funding; Future; Grant; Image Analysis; Investigation; Joints; Lasers; Light; Methods; Modeling; National Center for Research Resources; Photons; Principal Investigator; Probability; Procedures; Relative (related person); Research; Research Activity; Research Infrastructure; Resources; Sampling; Solutions; Source; Surface; Techniques; Testing; Tissue Model; Tissues; United States National Institutes of Health; Visit; Work; cost; design; detector; imaging modality; novel; preference; response; simulation; theories; validation studies

This subproject is one of many research subprojects utilizing the resources provided by a Center grant funded by NIH/NCRR. Primary support for the subproject and the subproject's principal investigator may have been provided by other sources, including other NIH sources. The Total Cost listed for the subproject likely represents the estimated amount of Center infrastructure utilized by the subproject, not direct funding provided by the NCRR grant to the subproject or subproject staff. Novel Monte Carlo techniques are being developed to quantitatively determine the tissue volume sampled by non-invasive diffuse imaging modalities. Recent research activity has culminated with the development of a new transport-theoretic method for imaging and analyzing the conditional response of a detector, conditioned by passage through any designated tissue subvolume targeted for investigation. The new procedure relies on a generalized reciprocity theory for radiative transport that enables the computation to be performed efficiently using a pair of Monte Carlo simulations: one tracking photons from the source, and the second tracking backward-moving photons initiated at the detector. This "midway method" then pairs the forward and backward -moving photons in matched spatial-angular bins at the surface of the targeted volume. An integration over the target bounding surfaces produces the desired joint probability of both visiting the targeted volume and being detected. The method has been tested on a two-layer epithelial tissue model and the data derived from the simulations is used to compare the relative merits and efficiencies of competing probe designs. These preferences are then confirmed through the solution of inverse problems that indicate best probe designs for a given source-detector-target volume configuration. Future work will include the addition of variance reduction strategies and additional testing and model validation studies. The use of this conditional detector response information should aid greatly in the design of novel probes customized for a particular application.

该子项目是利用资源的众多研究子项目之一 由 NIH/NCRR 资助的中心拨款提供。子项目的主要支持 并且子项目的主要研究者可能是由其他来源提供的， 包括其他 NIH 来源。 子项目可能列出的总成本 代表子项目使用的中心基础设施的估计数量， NCRR 赠款不直接向子项目或子项目工作人员提供资金。 正在开发新的蒙特卡罗技术来定量确定通过非侵入性扩散成像方式采样的组织体积。 最近的研究活动随着一种新的传输理论方法的开发而达到顶峰，该方法用于成像和分析探测器的条件响应，其条件是通过任何指定的用于研究的组织子体积。新程序依赖于辐射传输的广义互易理论，该理论使得能够使用一对蒙特卡罗模拟来有效地执行计算：一个跟踪来自源的光子，第二个跟踪在探测器处启动的向后移动的光子。然后，这种“中途方法”将向前和向后移动的光子配对在目标体积表面的匹配空间角度箱中。目标边界表面上的积分产生访问目标体积和被检测到的所需联合概率。 该方法已在两层上皮组织模型上进行了测试，并且使用模拟得出的数据来比较竞争探针设计的相对优点和效率。然后通过反问题的解决来确认这些偏好，这些反问题表明给定的源-检测器-目标体积配置的最佳探针设计。未来的工作将包括增加方差减少策略以及额外的测试和模型验证研究。使用这种条件探测器响应信息应该极大地有助于设计针对特定应用定制的新型探针。