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Accelerating sensitivity encoding using compressed sensing

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

19 Scopus citations

Abstract

The combination of Compressed Sensing (CS) and SENSitivity Encoding (SENSE) for improving MRI acquisition speed and robustness has recently drawn great attentions. However, in the direct combination, the encoding matrix which represents the Fourier transform of channel-specific sensitivity modulation is not guaranteed to be a good CS matrix. In this paper, we propose a different approach that applies CS and SENSE sequentially. The method first uses CS to reconstruct a set of aliased images in each coil, and then applies the basic SENSE on these images to reconstruct the final image. The total reduction factor can achieve the product of the factors of each individual method. The experimental results show that overall performance of our proposed method is superior to the direct combination method with the same reduction factor.

Original languageEnglish
Title of host publicationProceedings of the 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08
PublisherIEEE Computer Society
Pages1667-1670
Number of pages4
ISBN (Print)9781424418152
DOIs
StatePublished - 2008
Event30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08 - Vancouver, BC, Canada
Duration: Aug 20 2008Aug 25 2008

Publication series

NameProceedings of the 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08 - "Personalized Healthcare through Technology"

Conference

Conference30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08
Country/TerritoryCanada
CityVancouver, BC
Period08/20/0808/25/08

Keywords

  • Compressed sensing
  • MRI
  • SENSE

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