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An open presurgery MRI dataset of people with epilepsy and focal cortical dysplasia type II
Automated detection of lesions using artificial intelligence creates new standards in medical imaging. For people with epilepsy, automated detection of focal cortical dysplasias (FCDs) is widely used because subtle FCDs often escape conventional neuroradiological diagnosis. Accurate recognition of F...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Nature Publishing Group UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10359264/ https://www.ncbi.nlm.nih.gov/pubmed/37474522 http://dx.doi.org/10.1038/s41597-023-02386-7 |
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author | Schuch, Fabiane Walger, Lennart Schmitz, Matthias David, Bastian Bauer, Tobias Harms, Antonia Fischbach, Laura Schulte, Freya Schidlowski, Martin Reiter, Johannes Bitzer, Felix von Wrede, Randi Rácz, Atilla Baumgartner, Tobias Borger, Valeri Schneider, Matthias Flender, Achim Becker, Albert Vatter, Hartmut Weber, Bernd Specht-Riemenschneider, Louisa Radbruch, Alexander Surges, Rainer Rüber, Theodor |
author_facet | Schuch, Fabiane Walger, Lennart Schmitz, Matthias David, Bastian Bauer, Tobias Harms, Antonia Fischbach, Laura Schulte, Freya Schidlowski, Martin Reiter, Johannes Bitzer, Felix von Wrede, Randi Rácz, Atilla Baumgartner, Tobias Borger, Valeri Schneider, Matthias Flender, Achim Becker, Albert Vatter, Hartmut Weber, Bernd Specht-Riemenschneider, Louisa Radbruch, Alexander Surges, Rainer Rüber, Theodor |
author_sort | Schuch, Fabiane |
collection | PubMed |
description | Automated detection of lesions using artificial intelligence creates new standards in medical imaging. For people with epilepsy, automated detection of focal cortical dysplasias (FCDs) is widely used because subtle FCDs often escape conventional neuroradiological diagnosis. Accurate recognition of FCDs, however, is of outstanding importance for affected people, as surgical resection of the dysplastic cortex is associated with a high chance of postsurgical seizure freedom. Here, we make publicly available a dataset of 85 people affected by epilepsy due to FCD type II and 85 healthy control persons. We publish 3D-T1 and 3D-FLAIR, manually labeled regions of interest, and carefully selected clinical features. The open presurgery MRI dataset may be used to validate existing automated algorithms of FCD detection as well as to create new approaches. Most importantly, it will enable comparability of already existing approaches and support a more widespread use of automated lesion detection tools. |
format | Online Article Text |
id | pubmed-10359264 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-103592642023-07-22 An open presurgery MRI dataset of people with epilepsy and focal cortical dysplasia type II Schuch, Fabiane Walger, Lennart Schmitz, Matthias David, Bastian Bauer, Tobias Harms, Antonia Fischbach, Laura Schulte, Freya Schidlowski, Martin Reiter, Johannes Bitzer, Felix von Wrede, Randi Rácz, Atilla Baumgartner, Tobias Borger, Valeri Schneider, Matthias Flender, Achim Becker, Albert Vatter, Hartmut Weber, Bernd Specht-Riemenschneider, Louisa Radbruch, Alexander Surges, Rainer Rüber, Theodor Sci Data Data Descriptor Automated detection of lesions using artificial intelligence creates new standards in medical imaging. For people with epilepsy, automated detection of focal cortical dysplasias (FCDs) is widely used because subtle FCDs often escape conventional neuroradiological diagnosis. Accurate recognition of FCDs, however, is of outstanding importance for affected people, as surgical resection of the dysplastic cortex is associated with a high chance of postsurgical seizure freedom. Here, we make publicly available a dataset of 85 people affected by epilepsy due to FCD type II and 85 healthy control persons. We publish 3D-T1 and 3D-FLAIR, manually labeled regions of interest, and carefully selected clinical features. The open presurgery MRI dataset may be used to validate existing automated algorithms of FCD detection as well as to create new approaches. Most importantly, it will enable comparability of already existing approaches and support a more widespread use of automated lesion detection tools. Nature Publishing Group UK 2023-07-20 /pmc/articles/PMC10359264/ /pubmed/37474522 http://dx.doi.org/10.1038/s41597-023-02386-7 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 Schuch, Fabiane Walger, Lennart Schmitz, Matthias David, Bastian Bauer, Tobias Harms, Antonia Fischbach, Laura Schulte, Freya Schidlowski, Martin Reiter, Johannes Bitzer, Felix von Wrede, Randi Rácz, Atilla Baumgartner, Tobias Borger, Valeri Schneider, Matthias Flender, Achim Becker, Albert Vatter, Hartmut Weber, Bernd Specht-Riemenschneider, Louisa Radbruch, Alexander Surges, Rainer Rüber, Theodor An open presurgery MRI dataset of people with epilepsy and focal cortical dysplasia type II |
title | An open presurgery MRI dataset of people with epilepsy and focal cortical dysplasia type II |
title_full | An open presurgery MRI dataset of people with epilepsy and focal cortical dysplasia type II |
title_fullStr | An open presurgery MRI dataset of people with epilepsy and focal cortical dysplasia type II |
title_full_unstemmed | An open presurgery MRI dataset of people with epilepsy and focal cortical dysplasia type II |
title_short | An open presurgery MRI dataset of people with epilepsy and focal cortical dysplasia type II |
title_sort | open presurgery mri dataset of people with epilepsy and focal cortical dysplasia type ii |
topic | Data Descriptor |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10359264/ https://www.ncbi.nlm.nih.gov/pubmed/37474522 http://dx.doi.org/10.1038/s41597-023-02386-7 |
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