首先研究了LOT中光线倾斜角度对光在组织体内分布的影响, 在此基础上设计并完成了压缩倾角薄层光学层析成像(cdaLOT)系统, 提出了矫正扫描振镜枕型畸变的新方法, 并发展了基于虚拟源-扩散近似技术和GPU的LOT快速图像重建算法.光路模拟结果表明, cdaLOT系统可使入射主光线倾角减小为传统LOT系统的1/2.cdaLOT系统将测量值与蒙特卡洛模拟结果的相对误差由传统系统的38%降低为18%, 从而缓解了实际测量方式和正向数学模型的不匹配性.仿体成像实验表明: 重建异质体的吸收系数、位置和形状与真实情况基本相符.

Laminar optical tomography (LOT) is a mesoscopic tomographic imaging technique ranging between confocal microscopy and diffuse optical tomography (DOT). Fluorescence LOT (FLOT) provides depth-resolved molecular information with 100-200μm resolution over 2-3mm depth. In this study, we use Monte Carlo simulation and singular-value analysis (SVA) to optimize the source-detector configurations for potential enhancement of FLOT imaging performance. The effects of different design parameters, including source incidence and detector collection angles, detector number, and sampling density, are presented. The results indicate that angled incidence/ detection configuration might improve the imaging resolution and depth sensitivity, especially for low-scattering medium. Increasing the number of detectors and the number of scanning steps will also result in enhanced imaging performance. We also demonstrate that the optimal imaging performance depends upon the background scattering coefficient. Our result might provide an optimization strategy for FLOT or LOT experimental setup.