10 citations · 21 across the 7 of their papers we have counts for
5 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…
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…
Variable Density Compressed Sensing In MRI. Theoretical vs Heuristic Sampling Strategies
Nicolas Chauffert, Philippe Ciuciu, Pierre Weiss
The structure of Magnetic Resonance Images (MRI) and especially their compressibility in an appropriate representation basis enables the application of the compressive sensing theo…
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…