TY - JOUR
T1 - Fast and efficient image reconstruction for high density diffuse optical imaging of the human brain
AU - Wu, Xue
AU - Eggebrecht, Adam T.
AU - Ferradal, Silvina L.
AU - Culver, Joseph P.
AU - Dehghani, Hamid
N1 - Publisher Copyright:
© 2015 Optical Society of America.
PY - 2015/10/26
Y1 - 2015/10/26
N2 - 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.
AB - 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.
KW - Functional monitoring and imaging
KW - Image reconstruction techniques
KW - Light propagation in tissues
KW - Tomography
UR - http://www.scopus.com/inward/record.url?scp=84961794780&partnerID=8YFLogxK
U2 - 10.1364/BOE.6.004567
DO - 10.1364/BOE.6.004567
M3 - Article
C2 - 26601019
AN - SCOPUS:84961794780
VL - 6
SP - 4567
EP - 4584
JO - Biomedical Optics Express
JF - Biomedical Optics Express
SN - 2156-7085
IS - 11
M1 - 247189
ER -