Accelerating SENSE using compressed sensing

Dong Liang, Bo Liu, Jiunjie Wang, Leslie Ying*

*Corresponding author for this work

Research output: Contribution to journalJournal Article peer-review

363 Scopus citations


Both parallel MRI and compressed sensing (CS) are emerging techniques to accelerate conventional MRI by reducing the number of acquired data. The combination of parallel MRI and CS for further acceleration is of great interest. In this paper, we propose a novel method to combine sensitivity encoding (SENSE), one of the standard methods for parallel MRI, and compressed sensing for rapid MR imaging (SparseMRI), a recently proposed method for applying CS in MR imaging with Cartesian trajectories. The proposed method, named CS-SENSE, sequentially reconstructs a set of aliased reduced-field-of-view images in each channel using SparseMRI and then reconstructs the final image from the aliased images using Cartesian SENSE. The results from simulations and phantom and in vivo experiments demonstrate that CS-SENSE can achieve a reduction factor higher than those achieved by SparseMRI and SENSE individually and outperform the existing method that combines parallel MRI and CS.

Original languageEnglish
Pages (from-to)1574-1584
Number of pages11
JournalMagnetic Resonance in Medicine
Issue number6
StatePublished - 12 2009


  • Compressed sensing
  • Sparse-SENSE
  • SparseMRI


Dive into the research topics of 'Accelerating SENSE using compressed sensing'. Together they form a unique fingerprint.

Cite this