Fast and efficient image reconstruction for high density diffuse optical imaging of the human brain

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

Research output: Contribution to journalArticlepeer-review

18 Citations (Scopus)
1 Downloads (Pure)

Abstract

Real-time imaging of human brain has become an important technique within neuroimaging. In this study, a fast and efficient sensitivity map generation based on Finite Element Models (FEM) is developed which utilises a reduced sensitivitys matrix taking advantage of sparsity and parallelisation processes. Time and memory efficiency of these processes are evaluated and compared with conventional method showing that for a range of mesh densities from 50000 to 320000 nodes, the required memory is reduced over tenfold and computational time fourfold allowing for near real-time image recovery.
Original languageEnglish
Pages (from-to)4567-4584
JournalBiomedical Optics Express
Volume6
Issue number11
DOIs
Publication statusPublished - 26 Oct 2015

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