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1 March 2011 Transport-theory based multispectral imaging with PDE-constrained optimization
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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.
© (2011) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Hyun Keol Kim, Molly Flexman, Darrell J. Yamashiro, Jessica J. Kandel, and Andreas H. Hielscher "Transport-theory based multispectral imaging with PDE-constrained optimization", Proc. SPIE 7896, Optical Tomography and Spectroscopy of Tissue IX, 78960W (1 March 2011); https://doi.org/10.1117/12.875908
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