@inproceedings{eec2767cfbb34e83894c79f1dffb8fed,
title = "A reduced-space basis function neural network method for diffuse optical tomography",
abstract = "We propose here a reduced space image reconstruction method that makes use of basis function neural network (BFNN) within a framework of PDE-constrained algorithm. This method reduces the solution space using the basis function approach, and finds the optimal solution through the learning process of neural network. The basis function approach improves the ill-posed nature of an original inverse problem, reducing the number of unknowns as well as regularizing the solution automatically. The proposed method was applied to breast cancer imaging, and the reconstruction performance was evaluated on how well the method can identify the tumor location in breast tissue. The results show that the BFNN method gives better results in the identification of tumor location than the traditional element-based reconstruction method.",
keywords = "DCT, PDE-constrained optimization, basis function, diffuse optical tomography, neural network",
author = "Kim, {Hyun Keol} and Jacqueline Gunther and Jennifer Hoi and Hielscher, {Andreas H.}",
note = "Publisher Copyright: {\textcopyright} 2015 SPIE.; Optical Tomography and Spectroscopy of Tissue XI ; Conference date: 09-02-2015 Through 11-02-2015",
year = "2015",
doi = "10.1117/12.2080550",
language = "English (US)",
series = "Progress in Biomedical Optics and Imaging - Proceedings of SPIE",
publisher = "SPIE",
editor = "Alfano, {Robert R.} and Sevick-Muraca, {Eva M.} and Tromberg, {Bruce J.} and Yodh, {Arjun G.}",
booktitle = "Optical Tomography and Spectroscopy of Tissue XI",
}