Novel image reconstruction algorithm for NIR diffusive tomography

N. Chen, Quing Zhu
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Abstract

Diffusive light through human tissues has been used to investigate the functional status of the human body. Accumulated efforts have been made to bring this technique to a clinically acceptable stage. Here, the authors present a new reconstruction method for near infrared (NIR) diffusive tomography. Its usefulness is manifested by reconstructed images from both simulated and experimental data. The authors conclude that their new algorithm is efficient in translating measured diffusive photon density waves into high quality images of optical properties.
一种新的近红外扩散层析成像重建算法
通过人体组织的漫射光已被用于研究人体的功能状态。为了使这项技术达到临床可接受的阶段,人们已经做出了积累的努力。本文提出一种新的近红外(NIR)扩散层析成像重建方法。模拟和实验数据的重建图像证明了该方法的有效性。作者得出结论,他们的新算法可以有效地将测量到的扩散光子密度波转换成具有光学特性的高质量图像。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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