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Semi-automated hippocampal segmentation in people with cognitive impairment using an age appropriate template for registration


Merkel, B and Steward, C and Vivash, L and Malpas, CB and Phal, P and Moffat, BA and Cox, KL and Ellis, KA and Ames, DJ and Cyarto, EV and Lai, MMY and Sharman, MJ and Szoeke, C and Masters, CL and Lautenschlager, NT and Desmond, P, Semi-automated hippocampal segmentation in people with cognitive impairment using an age appropriate template for registration, Journal of Magnetic Resonance Imaging, 42, (6) pp. 1631-1638. ISSN 1053-1807 (2015) [Refereed Article]

Copyright Statement

Copyright 2015 Wiley Periodicals, Inc.

DOI: doi:10.1002/jmri.24966


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.

Item Details

Item Type:Refereed Article
Keywords:mild cognitive impairment, subjective memory complaints, magnetic resonance imaging, hippocampus; segmentation, Alzheimer's disease
Research Division:Biomedical and Clinical Sciences
Research Group:Neurosciences
Research Field:Central nervous system
Objective Division:Health
Objective Group:Public health (excl. specific population health)
Objective Field:Mental health
UTAS Author:Sharman, MJ (Dr Matt Sharman)
ID Code:104143
Year Published:2015
Funding Support:National Health and Medical Research Council (APP1005942)
Web of Science® Times Cited:6
Deposited By:Health Sciences
Deposited On:2015-11-03
Last Modified:2017-11-06

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