publication . Conference object . 2011

Influence of the Training Library Composition on a Patch-based label fusion method: Application to Hippocampus Segmentation on ADNI dataset.

Coupé, Pierrick; Fonov, Vladimir; Eskildsen, Simon,; Manjón, José,; Arnold, Douglas; Collins, Louis,;
Open Access English
  • Published: 16 Jul 2011
  • Publisher: HAL CCSD
  • Country: France
Abstract
International audience; The atrophy of medial temporal lobe structures is may serve as early biomarkers of Alzheimer's disease. The evaluation of hippocampus (HC) atrophy is estimated by volumetric studies requiring a segmentation step that can be very time consuming when done manually. This limitation can be overcome by using automatic segmentation methods. In this study, we propose to validate our nonlocal patch-based method on the Alzheimer's Disease Neuroimaging Initiative (ADNI) database by segmenting the HC of Cognitively Normal (CN) subjects and patients with early Alzheimer's Disease (AD).
Subjects
free text keywords: Alzheimer's disease, hippocmapus, segmentation, brain, neuroimaging, nonlocal means, [INFO.INFO-IM]Computer Science [cs]/Medical Imaging, [SDV.NEU]Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC], [SDV.IB]Life Sciences [q-bio]/Bioengineering, [INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV], [SCCO.NEUR]Cognitive science/Neuroscience

1 McConnell Brain Imaging Centre, Montreal Neurological Institute, McGill University, Montreal, Canada. University, 3801 University Street, Montreal, Canada H3A 2B4 2 Instituto de Aplicaciones de las Tecnologías de la Información y de las Comunicaciones Avanzadas (ITACA), Universidad Politécnica de Valencia, Camino de Vera s/n, 46022 Valencia, Spain 3 NeuroRx Research, Montreal, QC, Canada H3A 2B3

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