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Abstract #5080

Optimization of brain extraction increases global cortical thickness accuracy

Antonio Carlos da Silva Senra Filho1, Gareth J. Barker2, Luiz Otávio Murta Junior1, and Flavio Dell'Acqua3

1Department of Computing and Mathematics, University of Sao Paulo, Ribeirao Preto, Brazil, 2Department of Neuroimaging, King's College London, London, United Kingdom, 3Department of Forensic & Neurodevelopmental Sciences, King's College London, London, United Kingdom

Reconstruction of the cortical surface is of great importance as a biomarker for many brain diseases, and in recent years a number of advances in image processing and analysis have been made in the cortical reconstruction process. However, despite the scientific community employing a range of advanced surface reconstruction algorithms in order to improve quantitative accuracy, cortical thickness measurement is still a challenge. Here, we address the question of whether a better brain extraction procedure can improve the cortical surface reconstruction. Our analyses suggest that a more accurate brain mask directly affects the global cortical thickness estimate, reducing its quantitative uncertainty.

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