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Parallel MRI acceleration using M-FOCUSS

  • University of Wisconsin-Milwaukee
  • Nankai University

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

7 Scopus citations

Abstract

Parallel magnetic resonance imaging (pMRI) cannot achieve its maximum reduction factor due to practical limitations. The combination of pMRI and distributed compressed sensing (DCS) for further acceleration is of great interest. In this paper, we propose a method to combine SENSitivity Encoding (SENSE), one of the standard methods for pMRI, and M-FOCUSS, an algorithm solving DCS reconstruction problem. The proposed method first employs MFOCUSS algorithm to simultaneously reconstruct a set of aliased reduced field-of-view (FOV) images for each channel, and then applies Cartesian SENSE to reconstruct the final image. The experimental results demonstrate that the proposed method outperforms the existing methods with the same reduction factor.

Original languageEnglish
Title of host publication3rd International Conference on Bioinformatics and Biomedical Engineering, iCBBE 2009
DOIs
StatePublished - 2009
Event3rd International Conference on Bioinformatics and Biomedical Engineering, iCBBE 2009 - Beijing, China
Duration: Jun 11 2009Jun 13 2009

Publication series

Name3rd International Conference on Bioinformatics and Biomedical Engineering, iCBBE 2009

Conference

Conference3rd International Conference on Bioinformatics and Biomedical Engineering, iCBBE 2009
Country/TerritoryChina
CityBeijing
Period06/11/0906/13/09

Keywords

  • Distributed compressed sensing
  • M-FOCUSS
  • Parallel magnetic resonance imaging
  • SENSE

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