Compressed sensing reconstruction improves sensitivity of variable density spiral fMRI

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DOIResolve DOI: http://doi.org/10.1002/mrm.24621
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TypeArticle
Journal titleMagnetic Resonance in Medicine
ISSN0740-3194
Volume70
Issue6
Pages16341643; # of pages: 10
AbstractPurpose Functional MRI (fMRI) techniques that can provide excellent blood oxygen level dependent contrast, rapid whole brain imaging, and minimal spatial distortion are in demand. This study explored whether fMRI sensitivity can be improved through the use of compressed sensing (CS) reconstruction of variable density spiral fMRI. Methods Three different CS-reconstructed 1-shot variable density spirals were explored (corresponding to 28%, 35%, and 46% under-sampling), and compared with conventional 1-shot and 2-shot Archimedean spirals acquired using matched echo time and volume repetition time. fMRI maps were reconstructed with or without CS MRI and sensitivity was compared using identically matched voxels. Results The results demonstrated that an l 1-norm based CS reconstruction only led to an increase in functional contrast when applied to 28% under-sampled data. A whole brain t-contrast map revealed that 2-shot uniformly sampled spiral and 28% under-sampled spiral data reconstructed with CS yield equivalent sensitivity, even with matched echo time and volume repetition time Conclusion VD spiral exhibits a useful operating range, in the region of 25-30% under-sampling, for which CS reconstruction can be used to increase the sensitivity of fMRI to brain activity. Using CS, VD acquisitions achieve the same sensitivity as 2-shot Archimedean acquisitions, but require only a single shot. Magn Reson Med 70:1634-1643, 2013. © 2013 Wiley Periodicals, Inc. Copyright © 2013 Wiley Periodicals, Inc.
Publication date
LanguageEnglish
AffiliationNational Research Council Canada (NRC-CNRC); NRC Institute for Biodiagnostics (IBD-IBD)
Peer reviewedYes
NPARC number21269860
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Record identifier464c9cb7-797a-4b46-80bb-be56f68ddeec
Record created2013-12-13
Record modified2016-05-09
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