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Abstract：
Optical-based imaging has improved from early single-location research to further sophisticated imaging in 2D topography and 3D tomography. These techniques have the benefit of high specificity and non-radiative safety for brain detection and therapy. However, their performance is limited by complex tissue structures. To overcome the difficulty in successful brain imaging applications, we conducted a simulation using 16 optical source types within a brain model that is based on the Monte Carlo method. In addition, we propose an evaluation method of the optical propagating depth and resolution, specifically one based on the optical distribution for brain applications. Based on the results, the best optical source types were determined in each layer. The maximum propagating depth and corresponding source were extracted. The optical source propagating field width was acquired in different depths. The maximum and minimum widths, as well as the corresponding source, were determined. This paper provides a reference for evaluating the optical propagating depth and resolution from an optical simulation aspect, and it has the potential to optimize the performance of optical-based techniques.
摘要：
基于光学的成像已从早期的单位置研究改进到2D地形和3D层析成像中的进一步复杂成像。这些技术具有用于脑检测和治疗的高特异性和非辐射安全性的益处。然而,它们的性能受到复杂组织结构的限制。为了克服成功的脑成像应用的困难，我们在基于蒙特卡罗方法的大脑模型中使用16种光源类型进行了模拟。此外,我们提出了一种光学传播深度和分辨率的评估方法，特别是基于大脑应用的光学分布。根据结果,在每层中确定了最佳光源类型。提取了最大传播深度和相应的来源。在不同深度获取光源传播场宽度。最大和最小宽度，以及相应的来源，决心。本文从光学模拟方面为评估光学传播深度和分辨率提供了参考。它有可能优化基于光学的技术的性能。
