Paper
27 October 2006 Influences of target size and contrast on near infrared diffuse optical tomography: a comparison between featured-data and full time-resolved schemes
Feng Gao, Huijuan Zhao, Yukari Tanikawa, Kazuhiro Homma, Yukio Yamada
Author Affiliations +
Proceedings Volume 6047, Fourth International Conference on Photonics and Imaging in Biology and Medicine; 604716 (2006) https://doi.org/10.1117/12.710877
Event: Fourth International Conference on Photonics and Imaging in Biology and Medicine, 2005, Tianjin, China
Abstract
Our recent DOT experiments on human lower legs and forearms are presented using the time-resolved measuring system and image reconstruction algorithm based on the modified generalized pulse spectrum technique. It was shown that the the spatial resolution and quantitativeness of the resultant images, including, was rather poor, and the interior blood vessels invisible in the absorption images. To clarify this issue, the influences of target contrast and size on the image reconstruction were investigated with simulated data. We have found that the quantitativeness of the reconstructed optical properties was prone to be spoiled by the small size ratio and high contrast of the interior targets to the background and the incompleteness of information embedded in the featured data-types, evidently answers for the degradation of the image quality. It was shown in a further simulative investigation that the image quality could be substantially improved by making full use of the time-resolved data.
© (2006) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Feng Gao, Huijuan Zhao, Yukari Tanikawa, Kazuhiro Homma, and Yukio Yamada "Influences of target size and contrast on near infrared diffuse optical tomography: a comparison between featured-data and full time-resolved schemes", Proc. SPIE 6047, Fourth International Conference on Photonics and Imaging in Biology and Medicine, 604716 (27 October 2006); https://doi.org/10.1117/12.710877
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KEYWORDS
Reconstruction algorithms

Image quality

Absorption

Detection and tracking algorithms

Image restoration

Bone

Blood vessels

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