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Semi‐automated hippocampal segmentation in people with cognitive impairment using an age appropriate template for registration
Author(s) -
Merkel Bernd,
Steward Christopher,
Vivash Lucy,
Malpas Charles B.,
Phal Pramit,
Moffat Bradford A.,
Cox Kay L.,
Ellis Kathryn A.,
Ames David J.,
Cyarto Elizabeth V.,
Lai Michelle M.Y.,
Sharman Matthew J.,
Szoeke Cassandra,
Masters Colin L.,
Lautenschlager Nicola T.,
Desmond Patricia
Publication year - 2015
Publication title -
journal of magnetic resonance imaging
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.563
H-Index - 160
eISSN - 1522-2586
pISSN - 1053-1807
DOI - 10.1002/jmri.24966
Subject(s) - segmentation , hippocampal formation , cognitive impairment , computer science , software , medicine , artificial intelligence , cohort , magnetic resonance imaging , pattern recognition (psychology) , cognition , radiology , pathology , psychiatry , programming language
Background To evaluate a new semi‐automated segmentation method for calculating hippocampal volumes and to compare results with standard software tools in a cohort of people with subjective memory complaints (SMC) and mild cognitive impairment (MCI). Methods Data from 58 participants, 39 with SMC (17 male, 22 female, mean age 72.6) and 19 with MCI (6 male, 13 female, mean age 74.3), were analyzed. For each participant, T1‐weighted images were acquired using an MPRAGE sequence on a 3 Tesla MRI system. Hippocampal volumes (left, right, and total) were calculated with a new, age appropriate registration template, based on older people and using the advanced software tool ANTs (Advanced Normalization Tools). The results were compared with manual tracing (seen as the reference standard) and two widely accepted automated software tools (FSL, FreeSurfer). Results The hippocampal volumes, calculated by using the age appropriate registration template were significantly ( P < 0.05) more accurate (mean volume accuracy more than 90%) than those obtained with FreeSurfer and FSL (both less than 70%). Dice coefficients for the hippocampal segmentations with the new template method (75.3%) were slightly, but significantly ( P < 0.05) higher than those from FreeSurfer (72.4%). Conclusion These results suggest that an age appropriate registration template might be a more accurate alternative to calculate hippocampal volumes when manual segmentation is not feasible. J. MAGN. RESON. IMAGING 2015;42:1631–1638.