33 citations
- Institut de Mathématiques de ToulouseFR9 papers
- Centre National de la Recherche ScientifiqueFR6 papers
- Institut national de recherche en sciences et technologies du numériqueFR6 papers
- Centre Inria de SaclayFR5 papers
- Laboratoire Paul PainlevéFR4 papers
- Institut National des Sciences Appliquées de ToulouseFR3 papers
- Université de ToulouseFR3 papers
- Université Toulouse III - Paul SabatierFR3 papers
- Commissariat à l'Énergie Atomique et aux Énergies AlternativesFR2 papers
- Institut de Mathématiques de BordeauxFR2 papers
- Institut Technique de l'AvicultureFR2 papers
- CEA Paris-SaclayFR1 paper
7 papers · 1 filter
Variable density sampling with continuous trajectories. Application to MRI
Nicolas Chauffert, Philippe Ciuciu, Jonas Kahn +1
Reducing acquisition time is a crucial challenge for many imaging techniques. Compressed Sensing (CS) theory offers an appealing framework to address this issue since it provides t…
An algorithm for variable density sampling with block-constrained acquisition
Claire Boyer, Pierre Weiss, Jérémie Bigot
Reducing acquisition time is of fundamental importance in various imaging modalities. The concept of variable density sampling provides a nice framework to achieve this. It was jus…
From variable density sampling to continuous sampling using Markov chains
Nicolas Chauffert, Philippe Ciuciu, Pierre Weiss +1
Since its discovery over the last decade, Compressed Sensing (CS) has been successfully applied to Magnetic Reso- nance Imaging (MRI). It has been shown to be a powerful way to red…
Travelling salesman-based variable density sampling
Nicolas Chauffert, Philippe Ciuciu, Jonas Kahn +1
Compressed sensing theory indicates that selecting a few measurements independently at random is a near optimal strategy to sense sparse or compressible signals. This is infeasible…
An analysis of block sampling strategies in compressed sensing
Jérémie Bigot, Claire Boyer, Pierre Weiss
Compressed sensing is a theory which guarantees the exact recovery of sparse signals from a small number of linear projections. The sampling schemes suggested by current compressed…
Travelling salesman-based compressive sampling
Nicolas Chauffert, Philippe Ciuiu, Jonas Kahn +1
Compressed sensing theory indicates that selecting a few measurements independently at random is a near optimal strategy to sense sparse or compressible signals. This is infeasible…