Three-dimensional optical tomography: resolution in small-object imaging
Three-dimensional optical tomography: resolution in small-object imaging
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DOI：
10.1364/ao.42.003117
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发表时间：
2003-06-01
期刊：
影响因子：
1.9
通讯作者：
Paulsen, KD
中科院分区：
文献类型：
--
作者：
Dehghani, H;Pogue, BW;Paulsen, KD
近红外（NIR）光学层析成像可以从生物组织内的光传播的边界测量提供光学吸收和传输散射的内部分布的估计。虽然这是一个真正的三维（3D）成像问题，大多数研究迄今已集中在二维建模和图像重建。最近，3D成像算法证明了对成像区域内的光传播的更好的估计，并且提供了更精确的图像重建算法的基础。随着3D方法的出现，评估其分辨率、对比度和光学特性异质性的定位将变得越来越重要。我们提出了一个简洁的研究三维重建分辨率的小，低对比度，吸收和散射异常，因为它被放置在不同的位置内的圆柱体模。该物体是一个直径为8 mm的圆柱体，代表了NIR乳腺摄影成像中需要分辨的典型小目标。当物体位于成像区域的周边附近（距离边缘12 - 22 mm）并且还位于多个测量平面内时，观察到最佳分辨率和对比度，当异常距离边缘17 mm时，对于散射图像看到最准确的结果。此外，当利用关于成像域的内部结构的先验信息时，定量成像的准确性增加到几乎100%的目标值。(C)2003年美国光学学会。
Near-infrared (NIR) optical tomography can provide estimates of the internal distribution of optical absorption and transport scattering from boundary measurements of light propagation within biological tissue. Although this is a truly three-dimensional (3D) imaging problem, most research to date has concentrated on two-dimensional modeling and image reconstruction. More recently, 3D imaging algorithms are demonstrating better estimation of the light propagation within the imaging region and are providing the basis of more accurate image reconstruction algorithms. As 3D methods emerge, it will become increasingly important to evaluate their resolution, contrast, and localization of optical property heterogeneity. We present a concise study of 3D reconstructed resolution of a small, low-contrast, absorbing and scattering anomaly as it is placed in different locations within a cylindrical phantom. The object is an 8-mm-diameter cylinder, which represents a typical small target that needs to be resolved in NIR mammographic imaging. The best resolution and contrast is observed when the object is located near the periphery of the imaging region (12-22 mm from the edge) and is also positioned within the multiple measurement planes, with the most accurate results seen for the scatter image when the anomaly is at 17 mm from the edge. Furthermore, the accuracy of quantitative imaging is increased to almost 100% of the target values when a priori information regarding the internal structure of imaging domain is utilized. (C) 2003 Optical Society of America.