OP: Complex Media Optics and Imaging

星星闪烁是一种物理现象，每个人都观察到并且最欣赏这种迷人而美丽的现象。尽管从物理角度很好地理解了这种现象，但仍然没有从精确的定量角度严格描述这种现象。该项目涉及生物医学应用中出现的一种类似现象，其中需要描述成像研究中光场如何“闪烁”以及如何受到组织微观结构的影响。高分辨率生物医学成像对于早期癌症检测、药效监测、计算机辅助手术以及组织、器官和骨骼健康评估至关重要。未来，血糖水平、心率、血压和其他医疗指标的监测可能会基于光学，通过光能聚焦激活的新药可能会显着减少癌症或糖尿病治疗中的潜在副作用。 生物组织通常非常复杂，以至于只能以统计方式描述其微观结构。 在该项目中，复杂的多尺度传播环境将被建模为在空间和时间上变化的异构多尺度随机场。该项目将通过增强我们对微结构如何影响光场的理解，支持生物医学成像中新型光学技术的开发。该项目还将支持其他成像和波传播领域新技术的开发，例如大气遥感和通信以及地球物理成像。在该项目中，将使用特定的标度关系来推导波场统计的渐近描述。这些描述将用于开发最佳滤波和成像技术，这些技术可以利用新光学技术提供的大量数据。这种波场的描述将在光学和成像的一系列领域中具有重要的应用，而这里的重点是定量生物医学成像。该项目旨在开发新的结果，使人们能够模拟复杂介质中的光波传播。这将涉及近轴波的传播和亚扩散区的传播，此外，还涉及辐射转移和扩散区的传播。该开发基于多尺度介质的随机建模，并使用尺度限制来表征波场的统计数据。这项工作的一个主要技术挑战是，在波的背景下，信息由于波散射而向各个方向流动，而不是像随机过程的经典背景下那样成为一个演化问题。这种情况导致了无数统计上耦合的嵌入问题。该项目将使用与随机矩阵理论和统计估计技术一起开发的缩放极限结果来分析和开发利用光谱波信息进行光场多点观测的新型成像和滤波技术。

Scintillation of the stars is a physical phenomenon that everyone observes and most appreciate as a fascinating and beautiful phenomenon. Albeit well understood from a physical perspective, the phenomenon still is not rigorously described from a precise quantitative perspective. This project concerns an analogous phenomenon that arises in biomedical applications, where one needs to describe how the optical field "scintillates" and is affected by tissue microstructure in imaging studies. High-resolution biomedical imaging is fundamentally important for early cancer detection, monitoring of drug efficiency, computer assisted surgery, and for the evaluation of health of tissue, organs, and bones in general. Monitoring of glucose level, heart rate, blood pressure, and other medical indicators may in the future be optically based, and new drugs that are activated by focusing of optical energy may significantly reduce potential side effects in the treatment of cancer or diabetes. Biological tissue is typically so complicated that one can only describe the microstructure in a statistical fashion. In this project the complex multiscale propagation environment will be modeled as a heterogeneous multiscale random field varying in both space and time. The project will support the development of new optically based techniques in biomedical imaging by enhancing our understanding of how the optical field is affected by the microstructure. The project will also support the development of new techniques in other areas of imaging and wave propagation, such as remote sensing and communication through the atmosphere and in geophysical imaging. In the project, specific scaling relations will used to derive asymptotic descriptions of wave field statistics. The descriptions will be used in the development of optimal filtering and imaging techniques that can exploit the vast amount of data that new optical technology provides. Such a description of the wave field will have important applications in a range of areas in optics and imaging, while the focus here is on quantitative biomedical imaging. The project aims at developing new results that allow one to model optical wave propagation in complicated media. This will concern propagation both for paraxial waves and propagation in the sub-diffusive regime, moreover, propagation in the radiative transfer and diffusion regimes. The development is based on stochastic modeling of the multiscale medium and using scaling limits that allow one to characterize the statistics of the wave field. A main technical challenge in this work is the fact that in the context of waves, information flows in all directions due to wave scattering, rather than being an evolution problem as in the classic context of stochastic processes. This situation leads to an infinite family of imbedding problems that couple statistically. Novel imaging and filtering techniques that exploit spectral wave information for multi-point observations of the optical field will be analyzed and developed in the project, using the scaling limit results developed together with random matrix theory and statistical estimation techniques.