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Big Field of View MRI T1w and FLAIR Template - NMRI225

Image templates are a common tool for neuroscience research. Often, they are used for spatial normalization of magnetic resonance imaging (MRI) data, which is a necessary procedure for analyzing brain morphology and function via voxel-based analysis. This allows the researcher to reduce individual s...

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Autores principales: Kreilkamp, Barbara A. K., Martin, Pascal, Bender, Benjamin, la Fougère, Christian, van de Velden, Daniel, Stier, Christina, Ethofer, Silke, Kotikalapudi, Raviteja, Marquetand, Justus, Rauf, Erik H., Loose, Markus, Focke, Niels K.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10104864/
https://www.ncbi.nlm.nih.gov/pubmed/37059732
http://dx.doi.org/10.1038/s41597-023-02087-1
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author Kreilkamp, Barbara A. K.
Martin, Pascal
Bender, Benjamin
la Fougère, Christian
van de Velden, Daniel
Stier, Christina
Ethofer, Silke
Kotikalapudi, Raviteja
Marquetand, Justus
Rauf, Erik H.
Loose, Markus
Focke, Niels K.
author_facet Kreilkamp, Barbara A. K.
Martin, Pascal
Bender, Benjamin
la Fougère, Christian
van de Velden, Daniel
Stier, Christina
Ethofer, Silke
Kotikalapudi, Raviteja
Marquetand, Justus
Rauf, Erik H.
Loose, Markus
Focke, Niels K.
author_sort Kreilkamp, Barbara A. K.
collection PubMed
description Image templates are a common tool for neuroscience research. Often, they are used for spatial normalization of magnetic resonance imaging (MRI) data, which is a necessary procedure for analyzing brain morphology and function via voxel-based analysis. This allows the researcher to reduce individual shape differences across images and make inferences across multiple subjects. Many templates have a small field-of-view typically focussed on the brain, limiting the use for applications requiring detailed information about other extra-cranial structures in the head and neck area. However, there are several applications where such information is important, for example source reconstruction of electroencephalography (EEG) and/or magnetoencephalography (MEG). We have constructed a new template based on 225 T1w and FLAIR images with a big field-of-view that can serve both as target for across subject spatial normalization as well as a basis to build high-resolution head models. This template is based on and iteratively re-registered to the MNI152 space to provide maximal compatibility with the most commonly used brain MRI template.
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spelling pubmed-101048642023-04-16 Big Field of View MRI T1w and FLAIR Template - NMRI225 Kreilkamp, Barbara A. K. Martin, Pascal Bender, Benjamin la Fougère, Christian van de Velden, Daniel Stier, Christina Ethofer, Silke Kotikalapudi, Raviteja Marquetand, Justus Rauf, Erik H. Loose, Markus Focke, Niels K. Sci Data Data Descriptor Image templates are a common tool for neuroscience research. Often, they are used for spatial normalization of magnetic resonance imaging (MRI) data, which is a necessary procedure for analyzing brain morphology and function via voxel-based analysis. This allows the researcher to reduce individual shape differences across images and make inferences across multiple subjects. Many templates have a small field-of-view typically focussed on the brain, limiting the use for applications requiring detailed information about other extra-cranial structures in the head and neck area. However, there are several applications where such information is important, for example source reconstruction of electroencephalography (EEG) and/or magnetoencephalography (MEG). We have constructed a new template based on 225 T1w and FLAIR images with a big field-of-view that can serve both as target for across subject spatial normalization as well as a basis to build high-resolution head models. This template is based on and iteratively re-registered to the MNI152 space to provide maximal compatibility with the most commonly used brain MRI template. Nature Publishing Group UK 2023-04-14 /pmc/articles/PMC10104864/ /pubmed/37059732 http://dx.doi.org/10.1038/s41597-023-02087-1 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Data Descriptor
Kreilkamp, Barbara A. K.
Martin, Pascal
Bender, Benjamin
la Fougère, Christian
van de Velden, Daniel
Stier, Christina
Ethofer, Silke
Kotikalapudi, Raviteja
Marquetand, Justus
Rauf, Erik H.
Loose, Markus
Focke, Niels K.
Big Field of View MRI T1w and FLAIR Template - NMRI225
title Big Field of View MRI T1w and FLAIR Template - NMRI225
title_full Big Field of View MRI T1w and FLAIR Template - NMRI225
title_fullStr Big Field of View MRI T1w and FLAIR Template - NMRI225
title_full_unstemmed Big Field of View MRI T1w and FLAIR Template - NMRI225
title_short Big Field of View MRI T1w and FLAIR Template - NMRI225
title_sort big field of view mri t1w and flair template - nmri225
topic Data Descriptor
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10104864/
https://www.ncbi.nlm.nih.gov/pubmed/37059732
http://dx.doi.org/10.1038/s41597-023-02087-1
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