Sparse Reconstruction: Modelling the Image to Acquire Less Data
Shreyas Vasanawala1
1Stanford University, Stanford, CA, United States
Synopsis
Sparsity is ubiquitous in medical images and can be exploited to scan faster. In this presentation, the concept of sparsity and the related concept of compressibility are reviewed. This is followed by an overview of how these concepts can be leveraged to scan faster, and conditions under which imaging speed can be pushed further.
Overview
Sparsity is ubiquitous in medical images and can be exploited to scan faster. In this presentation, the concept of sparsity and the related concept of compressibility are reviewed. This is followed by an overview of how these concepts can be leveraged to scan faster, and conditions under which imaging speed can be pushed further.Acknowledgements
No acknowledgement found.References
No reference found.
Proc. Intl. Soc. Mag. Reson. Med. 29 (2021)