Cited by 183Medical Image Segmentation TechniquesMemory and Neural MechanismsDementia and Cognitive Impairment Research

Subfields of the hippocampal formation at 7 T MRI: In vivo volumetric assessment

Wisse, L.E.M., Gerritsen, L., Zwanenburg, J.J.M., Kuijf, H.J., Luijten, P.R., Biessels, G.J., Geerlings, M.I.·2012·NeuroImage

Abstract

Animal and human autopsy studies suggest that subfields of the hippocampal formation are differentially affected by neuropsychiatric diseases. Therefore, subfield volumes may be more sensitive to effects of disease processes. The few human studies that segmented subfields of the hippocampal formation in vivo either assessed the subfields only in the body of the hippocampus, assessed only three subfields, or did not take the differential angulation of the head of the hippocampus into account. We developed a protocol using 7 Tesla MRI with isotropic voxels to reliably delineate the entorhinal cortex (ERC), subiculum (SUB), CA1, CA2, CA3, dentate gyrus (DG)&CA4 along the full-length of the hippocampus. Fourteen subjects (aged 54-74 years, 2 men and 12 women) were scanned with a 3D turbo spin echo (TSE) sequence with isotropic voxels of 0.7 × 0.7 × 0.7 mm(3) on a 7 T MRI whole body scanner. Based on previous protocols and extensive anatomic atlases, a new protocol for segmentation of subfields of the hippocampal formation was formulated. ERC, SUB, CA1, CA2, CA3 and DG&CA4 were manually segmented twice by one rater from coronal MR images. Good-to-excellent consistency was found for all subfields (Intraclass Correlation Coefficient's (ICC) varying from 0.74 to 0.98). Accuracy as measured with the Dice Similarity Index (DSI) was above 0.82 for all subfields, with the exception of the smaller subfield CA3 (0.68-0.70). In conclusion, this study shows that it is possible to delineate the main subfields of the hippocampal formation along its full-length in vivo at 7 T MRI. Our data give evidence that this can be done in a reliable manner. Segmentation of subfields in the full-length of the hippocampus may bolster the study of the etiology neuropsychiatric diseases.

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Crossref · 10.1016/j.neuroimage.2012.03.023

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Authors
Wisse, L. E. M., Gerritsen, L., Zwanenburg, J. J. M., Kuijf, H. J., Luijten, P. R., Biessels, G. J., & Geerlings, M. I.
Affiliations
  • University Medical Center Utrecht (NL)
  • Karolinska Institutet (SE)
Corresponding author
Geerlings, M.I.
Venue
NeuroImage
Publisher
Elsevier BV
Published
2012-07
Volume
61
Issue
4
Pages
1043-1049
ISSN
1053-8119 (ISSN-L)
OpenAlex
W2023253889
Cited by
183
References
43
Citations by year
2026: 4 · 2025: 7 · 2024: 9 · 2023: 9 · 2022: 7 · 2021: 6 · 2020: 13 · 2019: 9 · 2018: 18 · 2017: 18 · 2016: 26 · 2015: 23 · 2014: 22 · 2013: 10 · 2012: 2
FWCI
18.77
Type
journal article
Language
en
Update notices
erratum (2016-01-15)
Open access
closed
Locations
  • NeuroImage (publishedVersion)
  • PubMed (publishedVersion)
Funders
  • Netherlands Organization for Scientific Research (917-66-311)
  • ITEA (Information Technology for European Advancement)
Topics
  • Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Medical Image Segmentation Techniques
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Memory and Neural Mechanisms
  • Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
Keywords
hippocampal subfields, hippocampal formation, 7T MRI, entorhinal cortex, subiculum, CA1, CA2, CA3, dentate gyrus, CA4, manual segmentation, inter-rater reliability, isotropic voxels, neuropsychiatric disorders
MeSH terms
Aged, Female, Hippocampus, Humans, Image Interpretation, Computer-Assisted, Magnetic Resonance Imaging, Male, Middle Aged

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