Bernd Merkel1,2, Christopher Steward1,2, Lucy Vivash3, Charles B Malpas4, Pramit Phal1,2, Bradford A Moffat5, Kay L Cox6, Kathryn A Ellis7, David J Ames7,8, Elizabeth V Cyarto8, Michelle M Y Lai8, Matthew J Sharman9, Cassandra Szoeke3, Colin L Masters10, Nicola T Lautenschlager7,11, Patricia Desmond1,2. 1. Department of Radiology, The University of Melbourne, Melbourne, Victoria. 2. Department of Radiology, The Royal Melbourne Hospital, Melbourne, Victoria. 3. Department of Medicine, The University of Melbourne, Melbourne, Victoria. 4. Melbourne School of Psychological Sciences, The University of Melbourne, Melbourne, Victoria. 5. Department of Anatomy and Neuroscience, The University of Melbourne, Melbourne, Victoria. 6. School of Medicine and Pharmacology, University of Western Australia, Perth, Western Australia. 7. Academic Unit for Psychiatry of Old Age, Department of Psychiatry, St. Vincent's Health, The University of Melbourne, Kew, Victoria. 8. National Ageing Research Institute, Parkville, Victoria. 9. School of Health Sciences, University of Tasmania, Hobart, Tasmania. 10. The Florey Institute, The University of Melbourne, Melbourne, Victoria. 11. School of Psychiatry and Clinical Neurosciences & WA Centre for Health and Ageing, The University of Western Australia, Perth, Western Australia.
Abstract
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.
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.
Authors: Shan Cong; Shannon L Risacher; John D West; Yu-Chien Wu; Liana G Apostolova; Eileen Tallman; Maher Rizkalla; Paul Salama; Andrew J Saykin; Li Shen Journal: Brain Imaging Behav Date: 2018-12 Impact factor: 3.978
Authors: Julija Stelmokas; Lance Yassay; Bruno Giordani; Hiroko H Dodge; Ivo D Dinov; Arijit Bhaumik; K Sathian; Benjamin M Hampstead Journal: J Alzheimers Dis Date: 2017 Impact factor: 4.472