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Spatial-frequency-compression scheme for diffuse optical tomography with dense sampling dataset

机译：具有密集采样数据的漫射光学层析成像的空间频率压缩方案

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摘要

Dense sampling of illumination and detection offers an effective way of improving the image-reconstruction performance of near-infrared diffuse optical tomography (DOT) at a cost of lengthy computation times. In this paper, we describe a fast DOT scheme for reconstructing the absorption coefficient image of a slab medium from dense sampling of both illumination and detection in the noncontact DOT. The proposed method is carried out with spatial-frequency encoding in both the source and detection spaces, and involves a spatial-frequency-compression (SFC) strategy for selecting the useful spatial frequency based on the tissue transfer function. The method is expected to considerably reduce the calculation time for reconstruction while improving the quality of the reconstructed images. Results from the simulated data show that the speed for absorption reconstruction with the proposed SFC method is more than 400 times faster than that with the conventional one. A noncontact DOT system for dense sampling of both illumination and detection is developed by using laser raster scanning and CCD-based data acquisition. Experimental measurements on several solid phantoms demonstrate that a high quantitative-ness ratio can be obtained from the proposed method thanks to reduction of the ill-posedness of the inverse calculation. It takes less than 20 s for the proposed method to experimentally reconstruct one absorption image from a 256 × 256-sized dataset, which would take a few hours with the conventional method.
机译：照明和检测的密集采样提供了一种有效的方式，以花费较长的计算时间来提高近红外漫射光学层析成像（DOT）的图像重建性能。在本文中，我们描述了一种快速DOT方案，用于从非接触式DOT中照明和检测的密集采样中重建平板介质的吸收系数图像。所提出的方法在源空间和检测空间中都进行了空间频率编码，并且涉及一种基于组织传递函数选择有用空间频率的空间频率压缩（SFC）策略。预期该方法将大大减少用于重建的计算时间，同时改善重建图像的质量。模拟数据的结果表明，所提出的SFC方法的吸收重建速度比传统方法快400倍以上。通过使用激光光栅扫描和基于CCD的数据采集，开发了一种用于照明和检测密集采样的非接触式DOT系统。对几种实体模型的实验测量表明，由于减少了逆计算的不适定性，因此可以从提出的方法中获得较高的定量比率。该方法从256×256大小的数据集中实验重建一张吸收图像所需的时间少于20 s，而使用传统方法则需要几个小时。

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