Cargando…

A protocol for manual segmentation of medial temporal lobe subregions in 7 Tesla MRI

Recent advances in MRI and increasing knowledge on the characterization and anatomical variability of medial temporal lobe (MTL) anatomy have paved the way for more specific subdivisions of the MTL in humans. In addition, recent studies suggest that early changes in many neurodegenerative and neurop...

Descripción completa

Detalles Bibliográficos
Autores principales: Berron, D., Vieweg, P., Hochkeppler, A., Pluta, J.B., Ding, S.-L., Maass, A., Luther, A., Xie, L., Das, S.R., Wolk, D.A., Wolbers, T., Yushkevich, P.A., Düzel, E., Wisse, L.E.M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5476466/
https://www.ncbi.nlm.nih.gov/pubmed/28652965
http://dx.doi.org/10.1016/j.nicl.2017.05.022
_version_ 1783244603534606336
author Berron, D.
Vieweg, P.
Hochkeppler, A.
Pluta, J.B.
Ding, S.-L.
Maass, A.
Luther, A.
Xie, L.
Das, S.R.
Wolk, D.A.
Wolbers, T.
Yushkevich, P.A.
Düzel, E.
Wisse, L.E.M.
author_facet Berron, D.
Vieweg, P.
Hochkeppler, A.
Pluta, J.B.
Ding, S.-L.
Maass, A.
Luther, A.
Xie, L.
Das, S.R.
Wolk, D.A.
Wolbers, T.
Yushkevich, P.A.
Düzel, E.
Wisse, L.E.M.
author_sort Berron, D.
collection PubMed
description Recent advances in MRI and increasing knowledge on the characterization and anatomical variability of medial temporal lobe (MTL) anatomy have paved the way for more specific subdivisions of the MTL in humans. In addition, recent studies suggest that early changes in many neurodegenerative and neuropsychiatric diseases are better detected in smaller subregions of the MTL rather than with whole structure analyses. Here, we developed a new protocol using 7 Tesla (T) MRI incorporating novel anatomical findings for the manual segmentation of entorhinal cortex (ErC), perirhinal cortex (PrC; divided into area 35 and 36), parahippocampal cortex (PhC), and hippocampus; which includes the subfields subiculum (Sub), CA1, CA2, as well as CA3 and dentate gyrus (DG) which are separated by the endfolial pathway covering most of the long axis of the hippocampus. We provide detailed instructions alongside slice-by-slice segmentations to ease learning for the untrained but also more experienced raters. Twenty-two subjects were scanned (19–32 yrs, mean age = 26 years, 12 females) with a turbo spin echo (TSE) T2-weighted MRI sequence with high-resolution oblique coronal slices oriented orthogonal to the long axis of the hippocampus (in-plane resolution 0.44 × 0.44 mm(2)) and 1.0 mm slice thickness. The scans were manually delineated by two experienced raters, to assess intra- and inter-rater reliability. The Dice Similarity Index (DSI) was above 0.78 for all regions and the Intraclass Correlation Coefficients (ICC) were between 0.76 to 0.99 both for intra- and inter-rater reliability. In conclusion, this study presents a fine-grained and comprehensive segmentation protocol for MTL structures at 7 T MRI that closely follows recent knowledge from anatomical studies. More specific subdivisions (e.g. area 35 and 36 in PrC, and the separation of DG and CA3) may pave the way for more precise delineations thereby enabling the detection of early volumetric changes in dementia and neuropsychiatric diseases.
format Online
Article
Text
id pubmed-5476466
institution National Center for Biotechnology Information
language English
publishDate 2017
publisher Elsevier
record_format MEDLINE/PubMed
spelling pubmed-54764662017-06-26 A protocol for manual segmentation of medial temporal lobe subregions in 7 Tesla MRI Berron, D. Vieweg, P. Hochkeppler, A. Pluta, J.B. Ding, S.-L. Maass, A. Luther, A. Xie, L. Das, S.R. Wolk, D.A. Wolbers, T. Yushkevich, P.A. Düzel, E. Wisse, L.E.M. Neuroimage Clin Regular Article Recent advances in MRI and increasing knowledge on the characterization and anatomical variability of medial temporal lobe (MTL) anatomy have paved the way for more specific subdivisions of the MTL in humans. In addition, recent studies suggest that early changes in many neurodegenerative and neuropsychiatric diseases are better detected in smaller subregions of the MTL rather than with whole structure analyses. Here, we developed a new protocol using 7 Tesla (T) MRI incorporating novel anatomical findings for the manual segmentation of entorhinal cortex (ErC), perirhinal cortex (PrC; divided into area 35 and 36), parahippocampal cortex (PhC), and hippocampus; which includes the subfields subiculum (Sub), CA1, CA2, as well as CA3 and dentate gyrus (DG) which are separated by the endfolial pathway covering most of the long axis of the hippocampus. We provide detailed instructions alongside slice-by-slice segmentations to ease learning for the untrained but also more experienced raters. Twenty-two subjects were scanned (19–32 yrs, mean age = 26 years, 12 females) with a turbo spin echo (TSE) T2-weighted MRI sequence with high-resolution oblique coronal slices oriented orthogonal to the long axis of the hippocampus (in-plane resolution 0.44 × 0.44 mm(2)) and 1.0 mm slice thickness. The scans were manually delineated by two experienced raters, to assess intra- and inter-rater reliability. The Dice Similarity Index (DSI) was above 0.78 for all regions and the Intraclass Correlation Coefficients (ICC) were between 0.76 to 0.99 both for intra- and inter-rater reliability. In conclusion, this study presents a fine-grained and comprehensive segmentation protocol for MTL structures at 7 T MRI that closely follows recent knowledge from anatomical studies. More specific subdivisions (e.g. area 35 and 36 in PrC, and the separation of DG and CA3) may pave the way for more precise delineations thereby enabling the detection of early volumetric changes in dementia and neuropsychiatric diseases. Elsevier 2017-05-26 /pmc/articles/PMC5476466/ /pubmed/28652965 http://dx.doi.org/10.1016/j.nicl.2017.05.022 Text en © 2017 The Authors http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Regular Article
Berron, D.
Vieweg, P.
Hochkeppler, A.
Pluta, J.B.
Ding, S.-L.
Maass, A.
Luther, A.
Xie, L.
Das, S.R.
Wolk, D.A.
Wolbers, T.
Yushkevich, P.A.
Düzel, E.
Wisse, L.E.M.
A protocol for manual segmentation of medial temporal lobe subregions in 7 Tesla MRI
title A protocol for manual segmentation of medial temporal lobe subregions in 7 Tesla MRI
title_full A protocol for manual segmentation of medial temporal lobe subregions in 7 Tesla MRI
title_fullStr A protocol for manual segmentation of medial temporal lobe subregions in 7 Tesla MRI
title_full_unstemmed A protocol for manual segmentation of medial temporal lobe subregions in 7 Tesla MRI
title_short A protocol for manual segmentation of medial temporal lobe subregions in 7 Tesla MRI
title_sort protocol for manual segmentation of medial temporal lobe subregions in 7 tesla mri
topic Regular Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5476466/
https://www.ncbi.nlm.nih.gov/pubmed/28652965
http://dx.doi.org/10.1016/j.nicl.2017.05.022
work_keys_str_mv AT berrond aprotocolformanualsegmentationofmedialtemporallobesubregionsin7teslamri
AT viewegp aprotocolformanualsegmentationofmedialtemporallobesubregionsin7teslamri
AT hochkepplera aprotocolformanualsegmentationofmedialtemporallobesubregionsin7teslamri
AT plutajb aprotocolformanualsegmentationofmedialtemporallobesubregionsin7teslamri
AT dingsl aprotocolformanualsegmentationofmedialtemporallobesubregionsin7teslamri
AT maassa aprotocolformanualsegmentationofmedialtemporallobesubregionsin7teslamri
AT luthera aprotocolformanualsegmentationofmedialtemporallobesubregionsin7teslamri
AT xiel aprotocolformanualsegmentationofmedialtemporallobesubregionsin7teslamri
AT dassr aprotocolformanualsegmentationofmedialtemporallobesubregionsin7teslamri
AT wolkda aprotocolformanualsegmentationofmedialtemporallobesubregionsin7teslamri
AT wolberst aprotocolformanualsegmentationofmedialtemporallobesubregionsin7teslamri
AT yushkevichpa aprotocolformanualsegmentationofmedialtemporallobesubregionsin7teslamri
AT duzele aprotocolformanualsegmentationofmedialtemporallobesubregionsin7teslamri
AT wisselem aprotocolformanualsegmentationofmedialtemporallobesubregionsin7teslamri
AT berrond protocolformanualsegmentationofmedialtemporallobesubregionsin7teslamri
AT viewegp protocolformanualsegmentationofmedialtemporallobesubregionsin7teslamri
AT hochkepplera protocolformanualsegmentationofmedialtemporallobesubregionsin7teslamri
AT plutajb protocolformanualsegmentationofmedialtemporallobesubregionsin7teslamri
AT dingsl protocolformanualsegmentationofmedialtemporallobesubregionsin7teslamri
AT maassa protocolformanualsegmentationofmedialtemporallobesubregionsin7teslamri
AT luthera protocolformanualsegmentationofmedialtemporallobesubregionsin7teslamri
AT xiel protocolformanualsegmentationofmedialtemporallobesubregionsin7teslamri
AT dassr protocolformanualsegmentationofmedialtemporallobesubregionsin7teslamri
AT wolkda protocolformanualsegmentationofmedialtemporallobesubregionsin7teslamri
AT wolberst protocolformanualsegmentationofmedialtemporallobesubregionsin7teslamri
AT yushkevichpa protocolformanualsegmentationofmedialtemporallobesubregionsin7teslamri
AT duzele protocolformanualsegmentationofmedialtemporallobesubregionsin7teslamri
AT wisselem protocolformanualsegmentationofmedialtemporallobesubregionsin7teslamri