High Resolution Hippocampus Subfield Segmentation Using Multispectral Multiatlas Patch-Based Label Fusion

José V Romero (1) , Pierrick Coupe (2) , José V Manjón (1)

1 ITACA
2 LaBRI - Laboratoire Bordelais de Recherche en Informatique

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.

Domaines: Imagerie médicale

José V Romero, Pierrick Coupe, José V Manjón. High Resolution Hippocampus Subfield Segmentation Using Multispectral Multiatlas Patch-Based Label Fusion. Patch-Based Techniques in Medical Imaging (MICCAI), Oct 2016, Athènes, Greece. pp.117 - 124, ⟨10.1007/978-3-319-47118-1_15⟩. ⟨hal-01398769⟩