A statistical framework for optimal design matrix generation with application to fMRI

IEEE Transactions on Medical Imaging

Volumn 29, Issue 9, 2010, Pages 1573-1611

  Pendse, Gautam V ^a   Baumgartner, Richard ^a,b   Schwarz, Adam J ^a,c   Coimbra, Alexandre ^a,b   Borsook, David ^a,d,e   Becerra, Lino ^a,d,e  

^a MCLEAN HOSPITAL   (United States)

^b MERCK RESEARCH LABORATORIES   (United States)

^c ELI LILLY AND COMPANY   (United States)

^d MASSACHUSETTS GENERAL HOSPITAL   (United States)

^e HARVARD MEDICAL SCHOOL   (United States)

Author keywords

Bias variance tradeoff; design matrix; functional magnetic resonance imaging (fMRI); general linear model (GLM); optimization; residual

Indexed keywords

BIAS VARIANCE TRADEOFF; DESIGN MATRIX; FUNCTIONAL MAGNETIC RESONANCE IMAGING; GENERAL LINEAR MODELS; RESIDUAL;

ADAPTIVE SYSTEMS; DESIGN; DRUG INFUSION; LARGE SCALE SYSTEMS; MAGNETIC RESONANCE IMAGING; MATHEMATICAL MODELS; OPTIMAL SYSTEMS; OPTIMIZATION; RESONANCE;

MATRIX ALGEBRA;

BUPRENORPHINE;

ALGORITHM; ARTICLE; HEMODYNAMICS; HUMAN; IMAGE PROCESSING; METHODOLOGY; NUCLEAR MAGNETIC RESONANCE IMAGING; PHYSIOLOGY; REPRODUCIBILITY; STATISTICAL MODEL;

ALGORITHMS; BUPRENORPHINE; HEMODYNAMICS; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; LINEAR MODELS; MAGNETIC RESONANCE IMAGING; REPRODUCIBILITY OF RESULTS;

EID: 77952844324     PISSN: 02780062     EISSN: None     Source Type: Journal    
DOI: 10.1109/TMI.2010.2044512     Document Type: Article

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