Implementation of Compressed Sensing for MR Imaging

Abstract

 Recently, compressed sensing, which allows for rapid MRI scanning using signal sparsity and random sampling, has been introduced as a method for routine clinical examinations. This article presents an overview of the implementation of compressed sensing on clinical scanners. In the first section, the purpose of this article and the motivation behind it are provided. In the second section, the practical implementation, including trajectories, reconstruction schemes, and algorithms, is reviewed. Clinically available applications that use compressed sensing techniques in clinical scanners are introduced in the third section. Finally, challenges and future prospects of the technology are discussed.