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Proceedings Paper

Efficient method for near real-time diffuse optical tomography of the human brain
Author(s): Xue Wu; Adam T. Eggebrecht; Silvina L. Ferradal; Joseph P. Culver; Hamid Dehghani
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Paper 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 up to 320k nodes, the required memory is improved by ~1000% and computational time by ~400% to allow near real-time image recovery.

Paper Details

Date Published: 16 July 2015
PDF: 5 pages
Proc. SPIE 9538, Diffuse Optical Imaging V, 953804 (16 July 2015); doi: 10.1117/12.2183723
Show Author Affiliations
Xue Wu, Univ. of Birmingham (United Kingdom)
Adam T. Eggebrecht, Washington Univ. School of Medicine (United States)
Silvina L. Ferradal, Boston Children's Hospital (United States)
Joseph P. Culver, Washington Univ. School of Medicine (United States)
Washington Univ. in St. Louis (United States)
Hamid Dehghani, Univ. of Birmingham (United Kingdom)

Published in SPIE Proceedings Vol. 9538:
Diffuse Optical Imaging V
Hamid Dehghani; Paola Taroni, Editor(s)

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