High Resolution Hippocampus Subfield Segmentation Using Multispectral Multiatlas Patch-Based Label FusionReportar como inadecuado




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1 ITACA 2 LaBRI - Laboratoire Bordelais de Recherche en Informatique

Abstract : The hippocampus is a brain structure that is involved in several cog-nitive functions such as memory and learning. It is a structure of grate interest due to its relationship to neurodegenerative processes such as the Alzheimer-s disease. In this work, we propose a novel multispectral multiatlas patch-based method to automatically segment hippocampus subfields using high resolution T1-weighted and T2-weighted magnetic resonance images MRI. The proposed method works well also on standard resolution images after superresolu-tion and consistently performs better than monospectral version. Finally, the proposed method was compared with similar state-of-the-art methods showing better results in terms of both accuracy and efficiency.





Autor: José Romero - Pierrick Coupe - José Manjón -

Fuente: https://hal.archives-ouvertes.fr/



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