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Proceedings Paper

Multiview hyperspectral topography of tissue structural and functional characteristics
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Paper Abstract

Accurate and in vivo characterization of structural, functional, and molecular characteristics of biological tissue will facilitate quantitative diagnosis, therapeutic guidance, and outcome assessment in many clinical applications, such as wound healing, cancer surgery, and organ transplantation. However, many clinical imaging systems have limitations and fail to provide noninvasive, real time, and quantitative assessment of biological tissue in an operation room. To overcome these limitations, we developed and tested a multiview hyperspectral imaging system. The multiview hyperspectral imaging system integrated the multiview and the hyperspectral imaging techniques in a single portable unit. Four plane mirrors are cohered together as a multiview reflective mirror set with a rectangular cross section. The multiview reflective mirror set was placed between a hyperspectral camera and the measured biological tissue. For a single image acquisition task, a hyperspectral data cube with five views was obtained. The five-view hyperspectral image consisted of a main objective image and four reflective images. Three-dimensional topography of the scene was achieved by correlating the matching pixels between the objective image and the reflective images. Three-dimensional mapping of tissue oxygenation was achieved using a hyperspectral oxygenation algorithm. The multiview hyperspectral imaging technique is currently under quantitative validation in a wound model, a tissue-simulating blood phantom, and an in vivo biological tissue model. The preliminary results have demonstrated the technical feasibility of using multiview hyperspectral imaging for three-dimensional topography of tissue functional properties.

Paper Details

Date Published: 11 December 2012
PDF: 7 pages
Proc. SPIE 8553, Optics in Health Care and Biomedical Optics V, 85530P (11 December 2012); doi: 10.1117/12.1000006
Show Author Affiliations
Shiwu Zhang, Univ. of Science and Technology of China (China)
The Ohio State Univ. (United States)
Peng Liu, Univ. of Science and Technology of China (China)
Jiwei Huang, The Ohio State Univ. (United States)
Ronald Xu, Univ. of Science and Technology of China (China)
The Ohio State Univ. (United States)

Published in SPIE Proceedings Vol. 8553:
Optics in Health Care and Biomedical Optics V
Qingming Luo; Ying Gu; Xingde D. Li, Editor(s)

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