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Three-dimensional hybrid-encoded MRI using compressed sensing

  • University of Wisconsin-Milwaukee
  • Shenzhen Institute of Advanced Technology
  • GE Healthcare United States

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

5 Scopus citations

Abstract

Compressed sensing (CS) has been successfully applied to accelerate conventional magnetic resonance imaging (MRI) with Fourier encoding. However in Fourier encoding, the low spatial frequency always has to be fully sampled such that the high frequency is insufficiently sampled at high accelerations, leading to serious loss of resolution. Non-Fourier encoding has been studied in the context of compressed sensing for 2-D imaging, but with limited improvement. In this paper, we propose a novel 3-D acquisition method using hybrid encoding. The method exploits random encoding with a circulant structure along the phase encoding direction, while keeping conventional Fourier encoding along the readout and slice encoding directions. A 2-D random undersampling pattern is used for accelerating the scans. Both simulation and experimental results demonstrate that the proposed method preserves much better resolution than the conventional 3-D Fourier encoding when the same acceleration factors are used.

Original languageEnglish
Title of host publication2012 9th IEEE International Symposium on Biomedical Imaging
Subtitle of host publicationFrom Nano to Macro, ISBI 2012 - Proceedings
Pages398-401
Number of pages4
DOIs
StatePublished - 2012
Event2012 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2012 - Barcelona, Spain
Duration: May 2 2012May 5 2012

Publication series

NameProceedings - International Symposium on Biomedical Imaging
ISSN (Print)1945-7928
ISSN (Electronic)1945-8452

Conference

Conference2012 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2012
Country/TerritorySpain
CityBarcelona
Period05/2/1205/5/12

Keywords

  • circulant random encoding
  • Compressed Sensing
  • hybrid encoding
  • magnetic resonance imaging
  • non-Fourier encoding

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