@inproceedings{3ca006a1841a4acc86f14aac9ad300e1,
title = "Discretization error based mesh generation for diffuse optical tomography",
abstract = "In this paper, we analyze the perturbation in the reconstructed optical absorption images, resulting from the discretization of the forward and inverse problems. We show that the perturbation due to each problem is a function of both the forward and inverse problem solutions and can be reduced by proper refinement of the discretization mesh. Based on the perturbation analysis, we devise a novel adaptive discretization scheme for forward and inverse problems, which reduces the perturbation on the reconstructed image. Such a discretization scheme leads to an adaptively refined composite mesh sufficient to approximate the forward and inverse problem solutions within a desired level of accuracy while keeping the computational complexity within the computational power limits.",
author = "Murat Guven and Birsen Yazici and Kiwoon Kwon and Eldar Giladi and Xavier Intes",
note = "Publisher Copyright: {\textcopyright} 2005 IEEE.; 34th Applied Image Pattern Recognition Workshop, AIPR 2005 ; Conference date: 19-10-2005 Through 21-10-2005",
year = "2005",
doi = "10.1109/AIPR.2005.26",
language = "English",
series = "Proceedings - 34th Applied Image Pattern Recognition Workshop, AIPR 2005",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "146--151",
editor = "Bonneau, {Robert J.}",
booktitle = "Proceedings - 34th Applied Image Pattern Recognition Workshop, AIPR 2005",
address = "United States",
}