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Comparison of two- and three-dimensional reconstruction methods in optical tomography

机译:断层扫描中二维和三维重建方法的比较

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We present a three-dimensional (3D) image reconstruction scheme for optical near-infrared imaging of highly scattering material. The algorithm reconstructs the spatial distribution of the optical parameters of a volume Omega from transillumination measurements on the boundary of Omega. We test the performance of the method for a cylindrical object with embedded absorbing perturbation for a number of different source and detector arrangements. Furthermore, we investigate the effect of a mismatched reconstruction, using a two-dimensional (2D) reconstruction model to image a single plane of the object from 3D tomographic data obtained in a single plane. The motivation for the application of 2D models is their advantage in speed and memory requirements. We found that the difference in the measurement data between 2D and 3D models depends greatly on the measurement type used, giving a much better agreement for mean time-of-flight data than for de intensity data. Image artifacts that are due to data model mismatches can therefore be significantly reduced by use of mean time data. (C) 1998 Optical Society of America OCIS codes: 110.3080, 170.3010, 170.3880, 170.6920. [References: 37]
机译:我们提出了高度散射材料的光学近红外成像的三维(3D)图像重建方案。该算法根据欧米茄边界上的透照测量结果,重建欧米茄体积光学参数的空间分布。我们针对许多不同的源和检测器布置,对具有嵌入式吸收扰动的圆柱形物体测试了该方法的性能。此外,我们使用二维(2D)重建模型从在单个平面中获得的3D层析成像数据中对物体的单个平面进行成像,来研究不匹配重建的影响。应用2D模型的动机是它们在速度和内存需求方面的优势。我们发现2D模型和3D模型之间的测量数据差异在很大程度上取决于所使用的测量类型,对于平均飞行时间数据比对强度数据而言,一致性更好。因此,通过使用平均时间数据可以显着减少由于数据模型不匹配而导致的图像伪影。 (C)1998年美国光学学会OCIS编码:110.3080、170.3010、170.3880、170.6920。 [参考:37]

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