An improved approach in applying compressed sensing in parallel MR imaging (2009)
Type of ContentConference Contributions - Other
PublisherUniversity of Canterbury. Electrical and Computer Engineering
University of Canterbury. Physics and Astronomy
AuthorsWu, B., Watts, R., Millane, R., Bones, P.show all
Both parallel MRI (pMRI, ) and compressed sensing (CS, ) allow image reconstruction from an under-sampled data set. The former exploits data redundancy in a sparse transform domain representation whereas the latter exploits the redundancy in multiple receiver data sets. Some success has already been reported in combining the two methods directly . We report a new approach in which conventional pMRI and CS are cascaded to better exploit the individual strengths of the two methods.
CitationWu, B., Watts, R., Millane, R., Bones, P. (2009) An improved approach in applying compressed sensing in parallel MR imaging. Honolulu, HI, USA: International Society for Magnetic Resonance in Medicine (ISMRM) 17th Annual Meeting, 18-24 Apr 2009. Proceedings of the International Society for Magnetic Resonance in Medicine (ISMRM 2009), 17, 4595.
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