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Fully‐automated, multi‐stage hippocampus mapping in very mild Alzheimer disease
Author(s) -
Wang Lei,
Khan Ali,
Csernansky John G.,
Fischl Bruce,
Miller Michael I.,
Morris John C.,
Beg M. Faisal
Publication year - 2009
Publication title -
hippocampus
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.767
H-Index - 155
eISSN - 1098-1063
pISSN - 1050-9631
DOI - 10.1002/hipo.20616
Subject(s) - landmark , hippocampus , pipeline (software) , metric (unit) , artificial intelligence , computer science , pattern recognition (psychology) , neuroscience , magnetic resonance imaging , psychology , medicine , radiology , operations management , economics , programming language
Landmark‐based high‐dimensional diffeomorphic maps of the hippocampus (although accurate) is highly‐dependent on rater's anatomic knowledge of the hippocampus in the magnetic resonance images. It is therefore vulnerable to rater drift and errors if substantial amount of effort is not spent on quality assurance, training, and re‐training. A fully‐automated, FreeSurfer‐initialized large‐deformation diffeomorphic metric mapping procedure of small brain substructures, including the hippocampus, has been previously developed and validated in small samples. In this report, we demonstrate that this fully‐automated pipeline can be used in place of the landmark‐based procedure in a large‐sample clinical study to produce similar statistical outcomes. Some direct comparisons of the two procedures are also presented. © 2009 Wiley‐Liss, Inc.