Efficient method for near real-time diffuse optical tomography of the human brain

Xue Wu*, Adam T. Eggebrecht, Silvina L. Ferradal, Joseph P. Culver, Hamid Dehghani

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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.

Original languageEnglish
Title of host publicationEuropean Conference on Biomedical Optics, ECBO 2015
PublisherOptica Publishing Group (formerly OSA)
ISBN (Print)9781628417012
DOIs
Publication statusPublished - 2015
EventEuropean Conference on Biomedical Optics, ECBO 2015 - Munich, Germany
Duration: 21 Jun 201525 Jun 2015

Publication series

NameOptics InfoBase Conference Papers
ISSN (Electronic)2162-2701

Conference

ConferenceEuropean Conference on Biomedical Optics, ECBO 2015
Country/TerritoryGermany
CityMunich
Period21/06/1525/06/15

Bibliographical note

Publisher Copyright:
© 2015 SPIE-OSA.

Keywords

  • Diffuse optical tomography
  • Efficient sensitivity matrix generation
  • Reduced sensitivity matrix

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Mechanics of Materials

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