Hierarchical statistical shape analysis and prediction of sub-cortical brain structures

Medical Image Analysis

Volumn 12, Issue 1, 2008, Pages 55-68

  Rao, Anil ^a,b   Aljabar, Paul ^a   Rueckert, Daniel ^a  

^a IMPERIAL COLLEGE LONDON   (United Kingdom)

^b HAMMERSMITH HOSPITAL   (United Kingdom)

Author keywords

Morphometry; Prediction; Registration; Shape modelling

Indexed keywords

BRAIN; CORRELATION METHODS; CURVE FITTING; FEATURE EXTRACTION; LEAST SQUARES APPROXIMATIONS; MAGNETIC RESONANCE IMAGING; MULTIVARIANT ANALYSIS; REGRESSION ANALYSIS;

CANONICAL CORRELATION ANALYSIS; PARTIAL LEAST SQUARES REGRESSION;

IMAGE ANALYSIS;

ALGORITHM; AMYGDALOID NUCLEUS; ANALYTICAL ERROR; ARTICLE; BRAIN CORTEX; BRAIN FOURTH VENTRICLE; BRAIN STEM; CAUDATE NUCLEUS; CORRELATION COEFFICIENT; GLOBUS PALLIDUS; HIPPOCAMPUS; IMAGE ANALYSIS; LATERAL BRAIN VENTRICLE; MATHEMATICAL COMPUTING; MULTIVARIATE ANALYSIS; NEUROIMAGING; NUCLEAR MAGNETIC RESONANCE IMAGING; PREDICTION; PRIORITY JOURNAL; PUTAMEN; QUANTITATIVE ANALYSIS; REGRESSION ANALYSIS; THREE DIMENSIONAL IMAGING;

BRAIN; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; IMAGING, THREE-DIMENSIONAL; LEAST-SQUARES ANALYSIS; MAGNETIC RESONANCE IMAGING; MULTIVARIATE ANALYSIS; PREDICTIVE VALUE OF TESTS;

EID: 38849136009     PISSN: 13618415     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.media.2007.06.006     Document Type: Article

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