Optimization of data acquisition operation in optical tomography based on estimation theory.
Optimization of data acquisition operation in optical tomography based on estimation theory.
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DOI：
10.1364/boe.432687
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发表时间：
2021-08
影响因子：
3.4
通讯作者：
Mahshad Javidan;H. Esfandi;R. Pashaie
中科院分区：
文献类型：
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作者：
Mahshad Javidan;H. Esfandi;R. Pashaie
数据采集过程有时是层析成像中最耗时和最昂贵的操作。目前，光栅扫描仍然是在大多数断层扫描仪中进行顺序测量的常见做法。众所周知，光栅扫描速度慢，并且当对动态演变的对象进行成像时，这种扫描仪通常无法赶上变化的速度。在这项研究中，我们研究了使用估计理论和我们的先验知识的测试下，以减少所需的测量，以达到给定的图像质量的数量的可能性。这种用于优化数据采集过程的系统方法还提供了改善扫描仪的几何形状和减少噪声影响的愿景，包括检测器的常见状态相关噪声。该理论在文章中发展，并提供模拟，以更好地显示讨论的概念。
The data acquisition process is occasionally the most time consuming and costly operation in tomography. Currently, raster scanning is still the common practice in making sequential measurements in most tomography scanners. Raster scanning is known to be slow and such scanners usually cannot catch up with the speed of changes when imaging dynamically evolving objects. In this research, we studied the possibility of using estimation theory and our prior knowledge about the sample under test to reduce the number of measurements required to achieve a given image quality. This systematic approach for optimization of the data acquisition process also provides a vision toward improving the geometry of the scanner and reducing the effect of noise, including the common state-dependent noise of detectors. The theory is developed in the article and simulations are provided to better display discussed concepts.