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Design and evaluation of a reflectance diffuse optical tomography system

机译：反射漫射光学层析成像系统的设计和评估

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摘要

We have designed a continuous wave, back-reflection diffuse optical tomography system; and developed a new practical calibration method including both optode efficiency and positional error corrections. System design, data acquisition and calibration protocols are described in detail. Monte Carlo (MC) simulations of photon distribution for tissue phantoms have been used to obtain the weight matrix to be used in the Rytov approximation to the photon diffusion equation. The system has been evaluated by acquiring data from a tissue phantom with a background scattering coefficient (μ_s~′) of 10 cm~(-1) and absorption coefficient (μ_a) of 0.04 cm~(-1). An inclusion made of 1 % Intralipid and indocyanine green with μ_s~′ = 10 cm~(-1) and μ_a = 0.16 cm~(-1) was placed at a 2 cm depth from the tissue phantom surface. After calibration, the average value of the measurements over source-detector pairs at the same distance for each neighborhood was calculated. Perturbation data were obtained by subtracting the average data from the measurements with the same source-detector separation. In the reconstruction, weight matrixes obtained from MC simulation for μ_s~′ = 7 to 12 cm~(-1) were used. The Depth Compensation Algorithm was used in the Tikhonov regularization to identify the location of the inclusion correctly in the reconstruction.
机译：我们设计了一种连续波，背向反射漫射光学层析成像系统；并开发了一种新的实用校准方法，包括光电效率和位置误差校正。详细介绍了系统设计，数据采集和校准协议。组织体模的光子分布的蒙特卡洛（MC）仿真已用于获得权重矩阵，该权重矩阵将用于光子扩散方程的Rytov近似中。通过从组织体模获取数据来评估该系统，其背景散射系数（μ_s_'）为10 cm〜（-1），吸收系数（μ_a）为0.04 cm〜（-1）。将由1％的Intralipid和吲哚花青绿制成的包含μ_s_'= 10 cm _（-1）和μ_a= 0.16 cm〜（-1）的夹杂物距组织体模表面2 cm的深度。校准后，计算每个邻域在相同距离的源-检测器对上的测量平均值。扰动数据是通过使用相同的源-探测器间隔从测量值中减去平均数据而获得的。在重建中，使用了通过MC模拟获得的权重矩阵，μ_s〜'= 7至12 cm〜（-1）。在Tikhonov正则化中使用深度补偿算法来正确识别包含物在重建中的位置。

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