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Proceedings Paper

Transport-theory based multispectral imaging with PDE-constrained optimization
Author(s): Hyun Keol Kim; Molly Flexman; Darrell J. Yamashiro; Jessica J. Kandel; Andreas H. Hielscher
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Paper Abstract

We introduce here a transport-theory-based PDE-constrained multispectral imaging algorithm for direct reconstruction of the spatial distribution of chromophores in tissue. The method solves the forward and inverse problems simultaneously in the framework of a reduced Hessian sequential quadratic programming method. The performance of the new algorithm is evaluated using numerical and experimental studies involving tumor bearing mice. The results show that the PDE-constrained multispectral method leads to 15-fold acceleration in the image reconstruction of tissue chromophores when compared to the unconstrained multispectral approach and also gives more accurate results when compared to the traditional two-step method.

Paper Details

Date Published: 1 March 2011
PDF: 6 pages
Proc. SPIE 7896, Optical Tomography and Spectroscopy of Tissue IX, 78960W (1 March 2011); doi: 10.1117/12.875908
Show Author Affiliations
Hyun Keol Kim, Columbia Univ. (United States)
Molly Flexman, Columbia Univ. (United States)
Darrell J. Yamashiro, Columbia Univ. (United States)
Jessica J. Kandel, Columbia Univ. (United States)
Andreas H. Hielscher, Columbia Univ. (United States)

Published in SPIE Proceedings Vol. 7896:
Optical Tomography and Spectroscopy of Tissue IX
Bruce Jason Tromberg; Arjun G. Yodh; Mamoru Tamura; Eva Marie Sevick-Muraca; Robert R. Alfano, Editor(s)

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