1 March 2011 Transport-theory based multispectral imaging with PDE-constrained optimization
Author Affiliations +
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, Hyun Keol Kim, Molly Flexman, Molly Flexman, Darrell J. Yamashiro, Darrell J. Yamashiro, Jessica J. Kandel, Jessica J. Kandel, Andreas H. Hielscher, 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); doi: 10.1117/12.875908; https://doi.org/10.1117/12.875908

Back to Top