Cargando…
Multi-contrast submillimetric 3 Tesla hippocampal subfield segmentation protocol and dataset
The hippocampus is composed of distinct anatomical subregions that participate in multiple cognitive processes and are differentially affected in prevalent neurological and psychiatric conditions. Advances in high-field MRI allow for the non-invasive identification of hippocampal substructure. These...
Autores principales: | , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2015
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4640139/ https://www.ncbi.nlm.nih.gov/pubmed/26594378 http://dx.doi.org/10.1038/sdata.2015.59 |
_version_ | 1782400038102630400 |
---|---|
author | Kulaga-Yoskovitz, Jessie Bernhardt, Boris C. Hong, Seok-Jun Mansi, Tommaso Liang, Kevin E. van der Kouwe, Andre J.W. Smallwood, Jonathan Bernasconi, Andrea Bernasconi, Neda |
author_facet | Kulaga-Yoskovitz, Jessie Bernhardt, Boris C. Hong, Seok-Jun Mansi, Tommaso Liang, Kevin E. van der Kouwe, Andre J.W. Smallwood, Jonathan Bernasconi, Andrea Bernasconi, Neda |
author_sort | Kulaga-Yoskovitz, Jessie |
collection | PubMed |
description | The hippocampus is composed of distinct anatomical subregions that participate in multiple cognitive processes and are differentially affected in prevalent neurological and psychiatric conditions. Advances in high-field MRI allow for the non-invasive identification of hippocampal substructure. These approaches, however, demand time-consuming manual segmentation that relies heavily on anatomical expertise. Here, we share manual labels and associated high-resolution MRI data (MNI-HISUB25; submillimetric T1- and T2-weighted images, detailed sequence information, and stereotaxic probabilistic anatomical maps) based on 25 healthy subjects. Data were acquired on a widely available 3 Tesla MRI system using a 32 phased-array head coil. The protocol divided the hippocampal formation into three subregions: subicular complex, merged Cornu Ammonis 1, 2 and 3 (CA1-3) subfields, and CA4-dentate gyrus (CA4-DG). Segmentation was guided by consistent intensity and morphology characteristics of the densely myelinated molecular layer together with few geometry-based boundaries flexible to overall mesiotemporal anatomy, and achieved excellent intra-/inter-rater reliability (Dice index ≥90/87%). The dataset can inform neuroimaging assessments of the mesiotemporal lobe and help to develop segmentation algorithms relevant for basic and clinical neurosciences. |
format | Online Article Text |
id | pubmed-4640139 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-46401392015-11-20 Multi-contrast submillimetric 3 Tesla hippocampal subfield segmentation protocol and dataset Kulaga-Yoskovitz, Jessie Bernhardt, Boris C. Hong, Seok-Jun Mansi, Tommaso Liang, Kevin E. van der Kouwe, Andre J.W. Smallwood, Jonathan Bernasconi, Andrea Bernasconi, Neda Sci Data Data Descriptor The hippocampus is composed of distinct anatomical subregions that participate in multiple cognitive processes and are differentially affected in prevalent neurological and psychiatric conditions. Advances in high-field MRI allow for the non-invasive identification of hippocampal substructure. These approaches, however, demand time-consuming manual segmentation that relies heavily on anatomical expertise. Here, we share manual labels and associated high-resolution MRI data (MNI-HISUB25; submillimetric T1- and T2-weighted images, detailed sequence information, and stereotaxic probabilistic anatomical maps) based on 25 healthy subjects. Data were acquired on a widely available 3 Tesla MRI system using a 32 phased-array head coil. The protocol divided the hippocampal formation into three subregions: subicular complex, merged Cornu Ammonis 1, 2 and 3 (CA1-3) subfields, and CA4-dentate gyrus (CA4-DG). Segmentation was guided by consistent intensity and morphology characteristics of the densely myelinated molecular layer together with few geometry-based boundaries flexible to overall mesiotemporal anatomy, and achieved excellent intra-/inter-rater reliability (Dice index ≥90/87%). The dataset can inform neuroimaging assessments of the mesiotemporal lobe and help to develop segmentation algorithms relevant for basic and clinical neurosciences. Nature Publishing Group 2015-11-10 /pmc/articles/PMC4640139/ /pubmed/26594378 http://dx.doi.org/10.1038/sdata.2015.59 Text en Copyright © 2015, Macmillan Publishers Limited http://creativecommons.org/licenses/by/4.0 This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0 Metadata associated with this Data Descriptor is available at http://www.nature.com/sdata/ and is released under the CC0 waiver to maximize reuse. |
spellingShingle | Data Descriptor Kulaga-Yoskovitz, Jessie Bernhardt, Boris C. Hong, Seok-Jun Mansi, Tommaso Liang, Kevin E. van der Kouwe, Andre J.W. Smallwood, Jonathan Bernasconi, Andrea Bernasconi, Neda Multi-contrast submillimetric 3 Tesla hippocampal subfield segmentation protocol and dataset |
title | Multi-contrast submillimetric 3 Tesla hippocampal subfield segmentation protocol and dataset |
title_full | Multi-contrast submillimetric 3 Tesla hippocampal subfield segmentation protocol and dataset |
title_fullStr | Multi-contrast submillimetric 3 Tesla hippocampal subfield segmentation protocol and dataset |
title_full_unstemmed | Multi-contrast submillimetric 3 Tesla hippocampal subfield segmentation protocol and dataset |
title_short | Multi-contrast submillimetric 3 Tesla hippocampal subfield segmentation protocol and dataset |
title_sort | multi-contrast submillimetric 3 tesla hippocampal subfield segmentation protocol and dataset |
topic | Data Descriptor |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4640139/ https://www.ncbi.nlm.nih.gov/pubmed/26594378 http://dx.doi.org/10.1038/sdata.2015.59 |
work_keys_str_mv | AT kulagayoskovitzjessie multicontrastsubmillimetric3teslahippocampalsubfieldsegmentationprotocolanddataset AT bernhardtborisc multicontrastsubmillimetric3teslahippocampalsubfieldsegmentationprotocolanddataset AT hongseokjun multicontrastsubmillimetric3teslahippocampalsubfieldsegmentationprotocolanddataset AT mansitommaso multicontrastsubmillimetric3teslahippocampalsubfieldsegmentationprotocolanddataset AT liangkevine multicontrastsubmillimetric3teslahippocampalsubfieldsegmentationprotocolanddataset AT vanderkouweandrejw multicontrastsubmillimetric3teslahippocampalsubfieldsegmentationprotocolanddataset AT smallwoodjonathan multicontrastsubmillimetric3teslahippocampalsubfieldsegmentationprotocolanddataset AT bernasconiandrea multicontrastsubmillimetric3teslahippocampalsubfieldsegmentationprotocolanddataset AT bernasconineda multicontrastsubmillimetric3teslahippocampalsubfieldsegmentationprotocolanddataset |