A nonconservative Lagrangian framework for statistical fluid registrationSAFIRA

IEEE Transactions on Medical Imaging

Volumn 30, Issue 2, 2011, Pages 184-202

  Brun, Caroline C ^a,b   Lepore, Natasha ^c   Pennec, Xavier ^d   Chou, Yi Yu ^a   Lee, Agatha D ^a   De Zubicaray, Greig ^e   McMahon, Katie L ^e   Wright, Margaret J ^f   Gee, James C ^b   Thompson, Paul M ^a  

^a UNIVERSITY OF CALIFORNIA   (United States)

^b UNIVERSITY OF PENNSYLVANIA   (United States)

^c UNIVERSITY OF SOUTHERN CALIFORNIA   (United States)

^d INRIA   (France)

^e UNIVERSITY OF QUEENSLAND   (Australia)

^f QIMR BERGHOFER MEDICAL RESEARCH INSTITUTE   (Australia)

Author keywords

Fluid mechanics; nonconservative Lagrangian; registration; Riemannian framework; statistics; tensors; twins

Indexed keywords

BRAIN IMAGES; BRAIN SCAN; BRAIN STRUCTURE; CORPUS CALLOSUM; COVARIANCE MATRICES; DEFORMATION FIELD; FLUID REGISTRATION; IMAGE REGISTRATION ALGORITHM; LAGRANGIAN; LAGRANGIAN MECHANICS; NEURO-IMAGING; REGISTRATION; RIEMANNIAN FRAMEWORK; STATISTICAL ALGORITHM; TENSOR-BASED MORPHOMETRY; TWINS; VECTOR FIELDS;

ALGORITHMS; CONTACTS (FLUID MECHANICS); COVARIANCE MATRIX; DEFORMATION; FLUID MECHANICS; FLUIDS; LAGRANGE MULTIPLIERS; STATISTICS; STRAIN RATE; TENSORS; VECTORS;

THREE DIMENSIONAL;

ADULT; ALGORITHM; ARTICLE; BRAIN; FEMALE; HISTOLOGY; HUMAN; IMAGE PROCESSING; MALE; METHODOLOGY; NUCLEAR MAGNETIC RESONANCE IMAGING; PHYSIOLOGY; REPRODUCIBILITY; TWINS;

ADULT; ALGORITHMS; BRAIN; FEMALE; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; MAGNETIC RESONANCE IMAGING; MALE; REPRODUCIBILITY OF RESULTS; TWINS;

EID: 79551578644     PISSN: 02780062     EISSN: None     Source Type: Journal    
DOI: 10.1109/TMI.2010.2067451     Document Type: Article

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