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Integration of Probabilistic Atlas and Graph Cuts for Automated Segmentation of Multiple Sclerosis lesions

Francesca Galassi 1 Olivier Commowick 1 Christian Barillot 1
1 VisAGeS - Vision, Action et Gestion d'informations en Santé
IRISA-D5 - SIGNAUX ET IMAGES NUMÉRIQUES, ROBOTIQUE, Inria Rennes – Bretagne Atlantique , INSERM - Institut National de la Santé et de la Recherche Médicale : U1228
Abstract : We propose a framework for automated segmentation of Multiple Sclerosis (MS) lesions from MR brain images. It integrates a priori tissues and MS lesions information into a GraphCuts algorithm for improved segmentation results.
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https://hal.archives-ouvertes.fr/hal-01823801
Contributor : Francesca Galassi <>
Submitted on : Wednesday, June 27, 2018 - 10:02:28 AM
Last modification on : Tuesday, February 25, 2020 - 8:08:11 AM

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  • HAL Id : hal-01823801, version 1

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Francesca Galassi, Olivier Commowick, Christian Barillot. Integration of Probabilistic Atlas and Graph Cuts for Automated Segmentation of Multiple Sclerosis lesions. International Society for Magnetic Resonance in Medicine (ISMRM 2018), Jun 2018, Paris, France. pp.1-6. ⟨hal-01823801⟩

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