Depth-compensated diffuse optical tomography enhanced by general linear model analysis and an anatomical atlas of human head.
第一作者:
Fenghua,Tian
第一单位:
Department of Bioengineering, Joint Program in Biomedical Engineering between UT Arlington and UT Southwestern Medical Center at Dallas, University of Texas at Arlington, Arlington, TX, USA.
作者:
关键词
3DAnatomical atlas of human headBOLDCon-DOTDCDC-DOTDCADOTDepth compensationDiffuse optical tomographyFEMGLMGeneral linear modelHRFHbHbO(2)MNIMRIMontreal Neurological Institute coordinatesNIRFASTNIRSNIRS-SPMNear infrared spectroscopyODSCFSNRSPMSVRSVR-DOTSuperficial artifactsa FEM-based MATLAB package for modeling propagation of near infrared light in biological tissuesa SPM-based software package for functional NIRS data analysisabsorption coefficientapply spatially variant regularization to regular DOT reconstructionblood oxygen level dependentconventional DOT without any spatially variant regularization or depth compensationdeoxy-hemoglobin concentrationdepth compensationdepth-compensated DOTdepth-compensated algorithmdiffuse optical tomographyfMRIfinite element meshfunctional magnetic resonance imaginggeneral linear modelhemodynamic response functionmagnetic resonance imagingnnear infrared spectroscopyoptical densityoxy-hemoglobin concentrationreduced scattering coefficientrefractive indexsensitivity correction factorsignal-to-noise ratiospatially variant regularizationstatistical parametric mappingthree-dimensionalμ(a)μ(s)′
医学主题词
成年人(Adult);算法(Algorithms);伪迹(Artifacts);图集(主题)(Atlases as Topic);脑(Brain);脑血管循环(Cerebrovascular Circulation);计算机模拟(Computer Simulation);数据说明, 统计(Data Interpretation, Statistical);指(Fingers);头部(Head);人类(Humans);图像处理, 计算机辅助(Image Processing, Computer-Assisted);线性模型(Linear Models);男(雄)性(Male);模型, 神经学(Models, Neurological);运动技能(Motor Skills);非线性动力学(Nonlinear Dynamics);精神运动性行为(Psychomotor Performance);呼吸力学(Respiratory Mechanics);体层摄影术, 光学(Tomography, Optical);青年人(Young Adult)
DOI
10.1016/j.neuroimage.2013.07.016
PMID
23859922
发布时间
2021-10-21
基金项目
R33 CA101098/CA/NCI NIH HHS/United States
R33 NS052850/NS/NINDS NIH HHS/United States
5R33CA101098/CA/NCI NIH HHS/United States
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NeuroImage
166-80页
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