Model-Based MR Image Reconstruction WITH Ccompensation FOR THROUGH-Plane Field Inhomogeneity
dc.contributor.author | Fessler, Jeffrey A. | en_US |
dc.contributor.author | Noll, Douglas C. | en_US |
dc.date.accessioned | 2011-08-18T18:20:49Z | |
dc.date.available | 2011-08-18T18:20:49Z | |
dc.date.issued | 2007-04-12 | en_US |
dc.identifier.citation | Fessler, J.A.; Noll, D.C. (2007). "Model-Based MR Image Reconstruction WITH Ccompensation FOR THROUGH-Plane Field Inhomogeneity." IEEE International Symposium on Biomedical Imaging: From Nano to Macro: 920-923. <http://hdl.handle.net/2027.42/85828> | en_US |
dc.identifier.uri | https://hdl.handle.net/2027.42/85828 | |
dc.description.abstract | To improve image quality in susceptibility-weighted MR imaging, it is important to correct for the effects of field inhomogeneity. In particular, susceptibility differences between air and tissue induce magnetic field nonuniformity; often those susceptibility effects have nonzero through-plane gradients that lead to spin dephasing across the slice within each voxel. If uncorrected, these through-plane gradients cause signal loss in the reconstructed images. Several methods exist for reconstructing MR images with compensation for field inhomogeneity, but most of these methods, even the model-based iterative ones, treat the inhomogeneity within each voxel as being a constant, thus ignoring the through-plane gradient effects. This paper describes a model-based iterative method for reconstructing MR images with compensation for field inhomogeneity that accounts for the slice profile and the through-plane gradients of the field inhomogeneity (assumed to be determined by a pre-scan). In particular, this paper describes an accelerated algorithm for implementing the forward model and its adjoint as needed in a conjugate gradient algorithm for iterative MR image reconstruction. | en_US |
dc.publisher | IEEE | en_US |
dc.title | Model-Based MR Image Reconstruction WITH Ccompensation FOR THROUGH-Plane Field Inhomogeneity | 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 | BME Dept. | en_US |
dc.description.bitstreamurl | http://deepblue.lib.umich.edu/bitstream/2027.42/85828/1/Fessler226.pdf | |
dc.identifier.doi | 10.1109/ISBI.2007.357003 | 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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