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

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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.

Original languageEnglish
Title of host publicationDiffuse Optical Imaging V
EditorsPaola Taroni, Hamid Dehghani
PublisherSPIE
ISBN (Electronic)9781628417036
DOIs
StatePublished - Jan 1 2015
EventDiffuse Optical Imaging V - Munich, Germany
Duration: Jun 23 2015Jun 25 2015

Publication series

NameProgress in Biomedical Optics and Imaging - Proceedings of SPIE
Volume9538
ISSN (Print)1605-7422

Conference

ConferenceDiffuse Optical Imaging V
Country/TerritoryGermany
CityMunich
Period06/23/1506/25/15

Keywords

  • Diffuse optical tomography
  • efficient sensitivity matrix generation
  • reduced sensitivity matrix

Fingerprint

Dive into the research topics of 'Efficient method for near real-time diffuse optical tomography of the human brain'. Together they form a unique fingerprint.

Cite this