Conjugate Phase MRI Reconstruction With Spatially Variant Sample Density Correction
dc.contributor.author | Noll, Douglas C. | en_US |
dc.contributor.author | Fessler, Jeffrey A. | en_US |
dc.contributor.author | Sutton, Bradley P. | en_US |
dc.date.accessioned | 2011-08-18T18:21:16Z | |
dc.date.available | 2011-08-18T18:21:16Z | |
dc.date.issued | 2005-02-28 | en_US |
dc.identifier.citation | Noll, D.C.; Fessler, J.A.; Sutton, B.P. (2005). "Conjugate Phase MRI Reconstruction With Spatially Variant Sample Density Correction." IEEE Transactions on Medical Imaging 24(3): 325-336. <http://hdl.handle.net/2027.42/85978> | en_US |
dc.identifier.issn | 0278-0062 | en_US |
dc.identifier.uri | https://hdl.handle.net/2027.42/85978 | |
dc.description.abstract | A new image reconstruction method to correct for the effects of magnetic field inhomogeneity in non-Cartesian sampled magnetic resonance imaging (MRI) is proposed. The conjugate phase reconstruction method, which corrects for phase accumulation due to applied gradients and magnetic field inhomogeneity, has been commonly used for this case. This can lead to incomplete correction, in part, due to the presence of gradients in the field inhomogeneity function. Based on local distortions to the k-space trajectory from these gradients, a spatially variant sample density compensation function is introduced as part of the conjugate phase reconstruction. This method was applied to both simulated and experimental spiral imaging data and shown to produce more accurate image reconstructions. Two approaches for fast implementation that allow the use of fast Fourier transforms are also described. The proposed method is shown to produce fast and accurate image reconstructions for spiral sampled MRI. | en_US |
dc.publisher | IEEE | en_US |
dc.title | Conjugate Phase MRI Reconstruction With Spatially Variant Sample Density Correction | en_US |
dc.type | Article | en_US |
dc.subject.hlbsecondlevel | Biomedical Engineering | en_US |
dc.subject.hlbtoplevel | Engineering | en_US |
dc.description.peerreviewed | Peer Reviewed | en_US |
dc.contributor.affiliationum | Department of Biomedical Engineering. | en_US |
dc.contributor.affiliationother | Biomedical Imaging Center, Beckman Institute, University of Illinois at Urbana-Champaign, Urbana, IL 61801 USA. | en_US |
dc.identifier.pmid | 15754983 | en_US |
dc.description.bitstreamurl | http://deepblue.lib.umich.edu/bitstream/2027.42/85978/1/Fessler52.pdf | |
dc.identifier.doi | 10.1109/TMI.2004.842452 | en_US |
dc.identifier.source | IEEE Transactions on Medical Imaging | en_US |
dc.owningcollname | Electrical Engineering and Computer Science, Department of (EECS) |
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