A direct morphometric comparison of five labeling protocols for multi-atlas driven automatic segmentation of the hippocampus in Alzheimer's disease

NeuroImage

Volumn 66, Issue , 2013, Pages 50-70

  Nestor, Sean M ^a,b   Gibson, Erin ^a,b   Gao, Fu Qiang ^a   Kiss, Alex ^a   Black, Sandra E ^a,b,c  

^a UNIVERSITY OF TORONTO   (Canada)

^b UNIVERSITY OF TORONTO   (Canada)

^c SUNNYBROOK RESEARCH INSTITUTE   (Canada)

Author keywords

Alzheimer's disease; Automatic hippocampal segmentation; Hippocampal tracing protocol; Multi atlas

Indexed keywords

AGED; ALZHEIMER DISEASE; ARTICLE; AUTOMATION; BRAIN SIZE; CLINICAL ARTICLE; CLINICAL PROTOCOL; CONTROLLED STUDY; CORRELATION COEFFICIENT; EPISODIC MEMORY; FEMALE; FUNCTIONAL MAGNETIC RESONANCE IMAGING; FUNCTIONAL NEUROIMAGING; HIPPOCAMPUS; HUMAN; MALE; MILD COGNITIVE IMPAIRMENT; MORPHOMETRICS; MULTIVARIATE ANALYSIS OF COVARIANCE; PARAHIPPOCAMPAL GYRUS; PRIORITY JOURNAL; PROCESS OPTIMIZATION; VALIDATION PROCESS; WHITE MATTER; COMPARATIVE STUDY; COMPUTER ASSISTED DIAGNOSIS; FACTUAL DATABASE; MIDDLE AGED; NUCLEAR MAGNETIC RESONANCE IMAGING; PATHOLOGY; PROCEDURES;

AGED; ALZHEIMER DISEASE; DATABASES, FACTUAL; FEMALE; HIPPOCAMPUS; HUMANS; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MAGNETIC RESONANCE IMAGING; MALE; MIDDLE AGED;

EID: 84869778045     PISSN: 10538119     EISSN: 10959572     Source Type: Journal    
DOI: 10.1016/j.neuroimage.2012.10.081     Document Type: Article

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