Joint Estimation of Image and Fieldmap in Parallel MRI Using Single-Shot Acquisitions
dc.contributor.author | Matakos, Antonios | en_US |
dc.contributor.author | Fessler, Jeffrey A. | en_US |
dc.date.accessioned | 2011-08-18T18:20:46Z | |
dc.date.available | 2011-08-18T18:20:46Z | |
dc.date.issued | 2010-04-14 | en_US |
dc.identifier.citation | Matakos, A.; Fessler, J.A. (2010). "Joint Estimation of Image and Fieldmap in Parallel MRI Using Single-Shot Acquisitions." IEEE InternationalSymposium on Biomedical Imaging: From Nano to Macro: 984-987. <http://hdl.handle.net/2027.42/85811> | en_US |
dc.identifier.uri | https://hdl.handle.net/2027.42/85811 | |
dc.description.abstract | We propose a method for joint reconstruction of dynamic images and fieldmaps in parallel MRI, using single-shot trajectories. We exploit the sensitivity encoding from parallel imaging to reduce the length of acquisition and essentially perform joint reconstruction using just one full k-space dataset. We also explore the use of modified trajectories (both EPI and spiral) that provide full coverage of k-space and also contain enough inherent time differences to permit accurate fieldmap estimation. Finally we improve the efficiency of the reconstruction algorithm by using a linearization technique for fieldmap estimation, which allows the use of the conjugate gradient algorithm. | en_US |
dc.publisher | IEEE | en_US |
dc.title | Joint Estimation of Image and Fieldmap in Parallel MRI Using Single-Shot Acquisitions | 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 Electrical Engineering and Computer Science. | en_US |
dc.description.bitstreamurl | http://deepblue.lib.umich.edu/bitstream/2027.42/85811/1/Fessler249.pdf | |
dc.identifier.doi | 10.1109/ISBI.2010.5490153 | en_US |
dc.identifier.source | IEEE International Symposium on Biomedical Imaging: From Nano to Macro | en_US |
dc.owningcollname | Electrical Engineering and Computer Science, Department of (EECS) |
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