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Longitudinal reproducibility of automatically segmented hippocampal subfields: A multisite European 3T study on healthy elderly
- Source :
- Human Brain Mapping. 36:3516-3527
- Publication Year :
- 2015
- Publisher :
- Wiley, 2015.
-
Abstract
- Recently, there has been an increased interest in the use of automatically segmented subfields of the human hippocampal formation derived from magnetic resonance imaging (MRI). However, little is known about the test-retest reproducibility of such measures, particularly in the context of multisite studies. Here, we report the reproducibility of automated Freesurfer hippocampal subfields segmentations in 65 healthy elderly enrolled in a consortium of 13 3T MRI sites (five subjects per site). Participants were scanned in two sessions (test and retest) at least one week apart. Each session included two anatomical 3D T1 MRI acquisitions harmonized in the consortium. We evaluated the test-retest reproducibility of subfields segmentation (i) to assess the effects of averaging two within-session T1 images and (ii) to compare subfields with whole hippocampus volume and spatial reliability. We found that within-session averaging of two T1 images significantly improved the reproducibility of all hippocampal subfields but not that of the whole hippocampus. Volumetric and spatial reproducibility across MRI sites were very good for the whole hippocampus, CA2-3, CA4-dentate gyrus (DG), subiculum (reproducibility error∼2% and DICE > 0.90), good for CA1 and presubiculum (reproducibility error ∼ 5% and DICE ∼ 0.90), and poorer for fimbria and hippocampal fissure (reproducibility error ∼ 15% and DICE
- Subjects :
- Reproducibility
Radiological and Ultrasound Technology
medicine.diagnostic_test
business.industry
Subiculum
Hippocampus
Magnetic resonance imaging
Context (language use)
Hippocampal formation
medicine.anatomical_structure
nervous system
Neurology
Gyrus
Hippocampal Fissure
medicine
Radiology, Nuclear Medicine and imaging
Neurology (clinical)
Anatomy
Nuclear medicine
business
Psychology
Neuroscience
Subjects
Details
- ISSN :
- 10659471
- Volume :
- 36
- Database :
- OpenAIRE
- Journal :
- Human Brain Mapping
- Accession number :
- edsair.doi...........4ee5cd524ec3100bda7b0c36534b7724
- Full Text :
- https://doi.org/10.1002/hbm.22859