title: Fast and efficient image reconstruction for high density diffuse optical imaging of the human brain.
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.
authors.affiliation: School of Computer Science, University of Birmingham, Birmingham, B15 2TT, UK.
authors.forename: Xue
authors.initials: X
authors.lastname: Wu
authors.affiliation: Department of Radiology, Washington University School of Medicine, 4525 Scott Avenue, St. Louis, MO, 63110, USA.
authors.forename: Adam T
authors.initials: AT
authors.lastname: Eggebrecht
authors.affiliation: Division of Newborn Medicine, Boston Children's Hospital, Harvard Medical School, Boston, MA, 02115, USA.
authors.forename: Silvina L
authors.initials: SL
authors.lastname: Ferradal
authors.affiliation: Department of Radiology, Washington University School of Medicine, 4525 Scott Avenue, St. Louis, MO, 63110, USA ; Department of Biomedical Engineering, Washington University, One Brookings Drive, St. Louis, MO, 63130, USA.
authors.forename: Joseph P
authors.initials: JP
authors.lastname: Culver
authors.affiliation: School of Computer Science, University of Birmingham, Birmingham, B15 2TT, UK.
authors.forename: Hamid
authors.initials: H
authors.lastname: Dehghani
keywords: (110.6960) Tomography; (170.2655) Functional monitoring and imaging; (170.3010) Image reconstruction techniques; (170.3660) Light propagation in tissues