Xu Yong, Graber Harry L, Pei Yaling, Barbour Randall L
Department of Pathology, State University of New York Downstate Medical Center, Brooklyn, New York 11203, USA.
Appl Opt. 2005 Apr 10;44(11):2115-39. doi: 10.1364/ao.44.002115.
Systematic characterization studies are presented, relating to a previously reported spatial deconvolution operation that seeks to compensate for the information-blurring property of first-order perturbation algorithms for diffuse optical tomography (DOT) image reconstruction. In simulation results that are presented, this deconvolution operation has been applied to two-dimensional DOT images reconstructed by solving a first-order perturbation equation. Under study was the effect on algorithm performance of control parameters in the measurement (number and spatial distribution of sources and detectors, presence of noise, and presence of systematic error), target (medium shape; and number, location, size, and contrast of inclusions), and computational (number of finite-element-method mesh nodes, length of filter-generating linear system, among others) parameter spaces associated with computation and the use of the deconvolution operators. Substantial improvements in reconstructed image quality, in terms of recovered inclusion location, size, and contrast, are found in all cases. A finding of practical importance is that the method is robust to appreciable differences between the optical coefficients of the media used for filter generation and those of the target media to which the filters are subsequently applied.
本文展示了系统的特征研究，该研究与先前报道的空间去卷积操作有关，该操作旨在补偿用于漫射光学层析成像（DOT）图像重建的一阶微扰算法的信息模糊特性。在给出的模拟结果中，这种去卷积操作已应用于通过求解一阶微扰方程重建的二维DOT图像。研究了测量（源和探测器的数量及空间分布、噪声的存在以及系统误差的存在）、目标（介质形状；内含物的数量、位置、大小和对比度）以及计算（有限元方法网格节点的数量、生成滤波器的线性系统的长度等）参数空间中的控制参数对算法性能的影响，这些参数空间与去卷积算子的计算和使用相关。在所有情况下，均发现重建图像质量在恢复内含物位置、大小和对比度方面有显著提高。一个具有实际重要性的发现是，该方法对于用于生成滤波器的介质与随后应用滤波器的目标介质的光学系数之间的明显差异具有鲁棒性。
