Novel Fast Marching for Automated Segmentation of the Hippocampus (FMASH): Method and validation on clinical data

NeuroImage

Volumn 55, Issue 3, 2011, Pages 1009-1019

  Bishop, Courtney A ^a   Jenkinson, Mark ^a   Andersson, Jesper ^a   Declerck, Jerome ^b   Merhof, Dorit ^c  

^a UNIVERSITY OF OXFORD   (United Kingdom)

^b SIEMENS AG   (Germany)

^c UNIVERSITY OF KONSTANZ   (Germany)

Author keywords

Automated; Hippocampus; Region growing; Segmentation; Structural MRI

Indexed keywords

ALGORITHM; ALZHEIMER DISEASE; AMYGDALOID NUCLEUS; ARTICLE; AUTOMATION; BIPOLAR DISORDER; BRAIN SIZE; CONTROLLED STUDY; FALSE NEGATIVE RESULT; FALSE POSITIVE RESULT; FAST MARCHING FOR AUTOMATED SEGMENTATION OF THE HIPPOCAMPUS; HIPPOCAMPUS; IMAGE ANALYSIS; IMAGE PROCESSING; INTERMETHOD COMPARISON; NUCLEAR MAGNETIC RESONANCE IMAGING; PRIORITY JOURNAL; VALIDITY;

ADULT; AGED; AGED, 80 AND OVER; ALGORITHMS; ALZHEIMER DISEASE; ANALYSIS OF VARIANCE; ATROPHY; BIPOLAR DISORDER; BRAIN; BRAIN MAPPING; DATABASES, FACTUAL; FALSE POSITIVE REACTIONS; HIPPOCAMPUS; HUMANS; IMAGE ENHANCEMENT; IMAGE PROCESSING, COMPUTER-ASSISTED; IMAGING, THREE-DIMENSIONAL; MAGNETIC RESONANCE IMAGING; MIDDLE AGED; REFERENCE VALUES; REPRODUCIBILITY OF RESULTS; SOFTWARE; YOUNG ADULT;

EID: 79952070640     PISSN: 10538119     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.neuroimage.2010.12.071     Document Type: Article

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