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Proceedings Paper

Acquisition and reconstruction of Raman and fluorescence signals for rat leg imaging
Author(s): Jennifer-Lynn Demers; Brian Pogue; Frederic Leblond; Francis Esmonde-White; Paul Okagbare; Michael Morris
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Paper Abstract

Recovery of Raman or Fluorescence signatures from within thin tissues benefits from model-based estimation of where the signal came from, especially if the signal passes through layers in which the absorption or scattering signatures distort the signal. Estimation of the signal strength requires appropriate normalization or model-based recovery, but the key to achieving good results is a good model of light transport. While diffusion models are routinely used for optical tomography of tissue, there's some thought that more precise radiation transport modeling is required for accurate estimation. However, diffusion is often used for small animal imaging, because it's a practical approach, which doesn't require knowledge of the scatter phase function at each point in the tissue. The question asked in this study is, whether experimentally acquired data in small volumes such as a rodent leg can be accurately modeled and reconstructed using diffusion theory. This study uses leg geometries extracted from animal CT scans and liquid phantoms to study the diffusion approximations. The preliminary results show that under certain conditions the collected data follows the expected trend.

Paper Details

Date Published: 10 February 2011
PDF: 6 pages
Proc. SPIE 7892, Multimodal Biomedical Imaging VI, 789211 (10 February 2011); doi: 10.1117/12.881104
Show Author Affiliations
Jennifer-Lynn Demers, Dartmouth College (United States)
Brian Pogue, Dartmouth College (United States)
Frederic Leblond, Dartmouth College (United States)
Francis Esmonde-White, Univ. of Michigan (United States)
Paul Okagbare, Univ. of Michigan (United States)
Michael Morris, Univ. of Michigan (United States)

Published in SPIE Proceedings Vol. 7892:
Multimodal Biomedical Imaging VI
Fred S. Azar; Xavier Intes, Editor(s)

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