Sparsity & Compressed Sensing
Aurelien Bustin1
1IHU Liryc – Electrophysiology and heart modeling institute, Bordeaux, France
Synopsis
Keywords: Image acquisition: Fast imaging
In this presentation, we will delve into the fascinating world of compressed sensing, which allows for measuring less data during imaging procedures. We will explore the three fundamental ingredients of compressed sensing: sparsity, random acquisition, and non-linear reconstruction. We will delve into each component, exploring their implementation and showcasing their remarkable potential in a range of clinical applications.
Synopsis
In this presentation, we will delve into the fascinating world of compressed sensing, which allows for measuring less data during imaging procedures. We will explore the three fundamental ingredients of compressed sensing: sparsity, random acquisition, and non-linear reconstruction. We will delve into each component, exploring their implementation and showcasing their remarkable clinical potential.Acknowledgements
No acknowledgement found.References
No reference found.
Proc. Intl. Soc. Mag. Reson. Med. 31 (2023)