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

被引：23

作者：

Wu, Xue ^{[1
]}

Eggebrecht, Adam T. ^{[2
]}

Ferradal, Silvina L. ^{[3
]}

Culver, Joseph P. ^{[2
,4
]}

Dehghani, Hamid ^{[1
]}

机构：

[1] Univ Birmingham, Sch Comp Sci, Birmingham B15 2TT, W Midlands, England

[2] Washington Univ, Dept Radiol, Sch Med, St Louis, MO 63110 USA

[3] Harvard Univ, Boston Childrens Hosp, Div Newborn Med, Sch Med, Boston, MA 02115 USA

[4] Washington Univ, Dept Biomed Engn, St Louis, MO 63130 USA

来源：

BIOMEDICAL OPTICS EXPRESS | 2015年 / 6卷 / 11期

基金：

美国国家卫生研究院;

关键词：

FINITE-ELEMENT-METHOD; REAL-TIME FMRI; TOMOGRAPHY; REDUCTION; FEEDBACK; TISSUES; SCHEME; CORTEX;

D O I：

10.1364/BOE.6.004567

中图分类号：

Q5 [生物化学];

学科分类号：

071010 ; 081704 ;

摘要：

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. (C) 2015 Optical Society of America

引用

页码：4567 / 4584

页数：18

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