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Elimination of cross-talk in diffuse optical tomographic reconstructions through a weighted update procedure: results of simulation study

机译:通过加权更新程序消除扩散光学层析成像重建中的串扰:仿真研究的结果

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Reconstructions in optical tomography involve obtaining the images of absorption and reduced scattering coefficients. The integrated intensity data has greater sensitivity to absorption coefficient variations than scattering coefficient. However, the sensitivity of intensity data to scattering coefficient is not zero. We considered an object with two inhomogeneities (one in absorption and the other in scattering coefficient). The standard iterative reconstruction techniques produced results, which were plagued by cross talk, i.e., the absorption coefficient reconstruction has a false positive corresponding to the location of scattering inhomogeneity, and vice-versa. We present a method to remove cross talk in the reconstruction, by generating a weight matrix and weighting the update vector during the iteration. The weight matrix is created by the following method: we first perform a simple backprojection of the difference between the experimental and corresponding homogeneous intensity data. The built up image has greater weightage towards absorption inhomogeneity than the scattering inhomogeneity and its appropriate inverse is weighted towards the scattering inhomogeneity. These two weight matrices are used as multiplication factors in the update vectors, normalized backprojected image of difference intensity for absorption inhomogeneity and the inverse of the above for the scattering inhomogeneity, during the image reconstruction procedure. We demonstrate through numerical simulations, that cross-talk is fully eliminated through this modified reconstruction procedure.
机译:光学层析成像的重建涉及获得吸收图像和降低的散射系数。积分强度数据比散射系数对吸收系数变化具有更高的灵敏度。但是,强度数据对散射系数的敏感性不为零。我们考虑了一个具有两种不均匀性的物体(一个在吸收方面,另一个在散射系数上)。标准的迭代重建技术产生的结果受到串扰的困扰,即吸收系数重建具有与散射不均匀位置相对应的假阳性,反之亦然。我们提出一种在重建过程中消除串扰的方法,方法是生成一个权重矩阵并在迭代过程中加权更新向量。权重矩阵是通过以下方法创建的:我们首先对实验数据和相应的均一强度数据之间的差异进行简单的反投影。与散射不均匀性相比,组合图像对吸收不均匀性的权重更大,并且其适当的反方向对散射不均匀性加权。在图像重建过程中,这两个权重矩阵被用作更新向量中的乘积因子,差异强度的归一化背投影图像(用于吸收不均匀性)和散射强度不均匀的上述逆矩阵。我们通过数值模拟证明,通过这种改进的重建程序可以完全消除串扰。

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