Optimal acquisition design for sparse reconstruction using dictionary learning in diffusion Magnetic Resonance Imaging

Raphaël Truffet 1 Emmanuel Caruyer 1
1 VisAGeS - Vision, Action et Gestion d'informations en Santé
INSERM - Institut National de la Santé et de la Recherche Médicale : U1228, Inria Rennes – Bretagne Atlantique , IRISA_D5 - SIGNAUX ET IMAGES NUMÉRIQUES, ROBOTIQUE
Document type :
Poster communications
Complete list of metadatas

https://www.hal.inserm.fr/inserm-01939066
Contributor : Raphaël Truffet <>
Submitted on : Thursday, November 29, 2018 - 10:45:41 AM
Last modification on : Thursday, February 14, 2019 - 8:28:02 AM

File

poster.pdf
Files produced by the author(s)

Identifiers

  • HAL Id : inserm-01939066, version 1

Citation

Raphaël Truffet, Emmanuel Caruyer. Optimal acquisition design for sparse reconstruction using dictionary learning in diffusion Magnetic Resonance Imaging. AI days 2018, Apr 2018, Rennes, France. pp.1. ⟨inserm-01939066v1⟩

Share

Metrics

Record views

114

Files downloads

26