@inproceedings{301000a6c88041429ed01ac55bdcd6ac,
title = "Efficient method for near real-time diffuse optical tomography of the human brain",
abstract = "Previous studies have showed only regions with a sensitivity higher that 1% of the maximum value can affect the recovery result for diffuse optical tomography (DOT). Two methods of efficient sensitivity map generation based on Finite Element Models (FEM) are developed based on (1) reduced sensitivity matrix and (2) parallelisation process. Time and memory efficiency of these processes are evaluated and compared with conventional methods. It is shown that the computational time for a full head model containing 200k nodes is reduced from 3 hours to 48 minutes and the required memory is reduced from 5.5 GB to 0.5 GB. For a range of mesh densities upto 320k nodes, the required memory is improved by 1000% and computational time by 400% to allow near real-time image recovery.",
keywords = "Diffuse optical tomography, Efficient sensitivity matrix generation, Reduced sensitivity matrix",
author = "Xue Wu and Eggebrecht, {Adam T.} and Ferradal, {Silvina L.} and Culver, {Joseph P.} and Hamid Dehghani",
note = "Publisher Copyright: {\textcopyright} 2015 SPIE-OSA.; European Conference on Biomedical Optics, ECBO 2015 ; Conference date: 21-06-2015 Through 25-06-2015",
year = "2015",
doi = "10.1117/12.2183723",
language = "English",
isbn = "9781628417012",
series = "Optics InfoBase Conference Papers",
publisher = "Optica Publishing Group (formerly OSA)",
booktitle = "European Conference on Biomedical Optics, ECBO 2015",
}