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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

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  • Media type: E-Article
  • Title: An open presurgery MRI dataset of people with epilepsy and focal cortical dysplasia type II
  • Contributor: 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
  • imprint: Springer Science and Business Media LLC, 2023
  • Published in: Scientific Data
  • Language: English
  • DOI: 10.1038/s41597-023-02386-7
  • ISSN: 2052-4463
  • Keywords: Library and Information Sciences ; Statistics, Probability and Uncertainty ; Computer Science Applications ; Education ; Information Systems ; Statistics and Probability
  • Origination:
  • Footnote:
  • Description: <jats:title>Abstract</jats:title><jats:p>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.</jats:p>
  • Access State: Open Access