Yang Xi, Chai Chengpeng, Zuo Hongzhi, Chen Yun-Hsuan, Shi Junhui, Ma Cheng, Sawan Mohamad
College of Biomedical Engineering & Instrument Science, Zhejiang University, 38 Zheda Road, Hangzhou 310013, China.
CenBRAIN Neurotech Center of Excellence, School of Engineering, Westlake University, 600 Dunyu Road, Xihu District, Hangzhou 310030, China.
Bioengineering (Basel). 2024 Mar 7;11(3):260. doi: 10.3390/bioengineering11030260.
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.
基于光学的成像技术已经从早期的单点研究发展到二维地形和三维断层扫描中更为复杂的成像。这些技术在脑部检测和治疗方面具有高特异性和非辐射安全性的优势。然而，它们的性能受到复杂组织结构的限制。为了克服成功进行脑成像应用的困难，我们在基于蒙特卡罗方法的脑模型中使用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，特别是基于脑应用的光分布的方法。根据结果，确定了每层中最佳的光源类型。提取了最大传播深度和相应的光源。获取了不同深度处光源传播场的宽度。确定了最大和最小宽度以及相应的光源。本文从光学模拟的角度为评估光学传播深度和分辨率提供了参考，并且有潜力优化基于光学技术的性能。
