Fast, Iterative, Field-Corrected Image Reconstruction for MRI
dc.contributor.author | Sutton, Bradley P. | en_US |
dc.contributor.author | Noll, Douglas C. | en_US |
dc.contributor.author | Fessler, Jeffrey A. | en_US |
dc.date.accessioned | 2011-08-18T18:21:21Z | |
dc.date.available | 2011-08-18T18:21:21Z | |
dc.date.issued | 2002-11-07 | en_US |
dc.identifier.citation | Sutton, B.P.; Noll, D.C.; Fessler, J.A. (2002). "Fast, Iterative, Field-Corrected Image Reconstruction for MRI." International Symposium on Biomedical Imaging: 489-492. <http://hdl.handle.net/2027.42/86011> | en_US |
dc.identifier.uri | https://hdl.handle.net/2027.42/86011 | |
dc.description.abstract | Magnetic field inhomogeneities cause distortions in the reconstructed images for non-cartesian k-space MRI (using spirals, for example). Several noniterative methods are currently used to compensate for the off-resonance during the reconstruction, but these methods rely on the assumption of a smoothly varying field map. Recently, iterative methods have been proposed that do not rely on this assumption and have the potential to estimate undistorted field maps, but suffer from prohibitively long computation times. In this abstract we present a min-max derived, time-segmented approximation to the signal equation for MRI that, when combined with the nonuniform fast Fourier transform, provides a fast, accurate field-corrected image reconstruction. | en_US |
dc.publisher | IEEE | en_US |
dc.title | Fast, Iterative, Field-Corrected Image Reconstruction for MRI | 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 | Dept. of Biomedical Engineering. | en_US |
dc.description.bitstreamurl | http://deepblue.lib.umich.edu/bitstream/2027.42/86011/1/Fessler175.pdf | |
dc.identifier.doi | 10.1109/ISBI.2002.1029301 | en_US |
dc.identifier.source | International Symposium on Biomedical Imaging | en_US |
dc.owningcollname | Electrical Engineering and Computer Science, Department of (EECS) |
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