Optimization Transfer Approach to Joint Registration / Reconstruction for Motion-Compensated Image Reconstruction
dc.contributor.author | Fessler, Jeffrey A. | en_US |
dc.date.accessioned | 2011-08-18T18:20:52Z | |
dc.date.available | 2011-08-18T18:20:52Z | |
dc.date.issued | 2010-04-14 | en_US |
dc.identifier.citation | Fessler, J. A. (2010). "Optimization Transfer Approach to Joint Registration / Reconstruction for Motion-Compensated Image Reconstruction." IEEE International Symposium on Biomedical Imaging: From Nano to Macro: 596-599. <http://hdl.handle.net/2027.42/85845> | en_US |
dc.identifier.uri | https://hdl.handle.net/2027.42/85845 | |
dc.description.abstract | Motion artifacts in image reconstruction problems can be reduced by performing image motion estimation and image reconstruction jointly using a penalized-likelihood cost function. However, updating the motion parameters by conventional gradient-based iterations can be computationally demanding due to the system model required in inverse problems. This paper describes an optimization transfer approach that leads to minimization steps for the motion parameters that have comparable complexity to those needed in image registration problems. This approach can simplify the implementation of motion-compensated image reconstruction (MCIR) methods when the motion parameters are estimated jointly with the reconstructed image. | en_US |
dc.publisher | IEEE | en_US |
dc.title | Optimization Transfer Approach to Joint Registration / Reconstruction for Motion-Compensated Image Reconstruction | 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.description.bitstreamurl | http://deepblue.lib.umich.edu/bitstream/2027.42/85845/1/Fessler247.pdf | |
dc.identifier.doi | 10.1109/ISBI.2010.5490108 | 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) |
Files in this item
Remediation of Harmful Language
The University of Michigan Library aims to describe library materials in a way that respects the people and communities who create, use, and are represented in our collections. Report harmful or offensive language in catalog records, finding aids, or elsewhere in our collections anonymously through our metadata feedback form. More information at Remediation of Harmful Language.
Accessibility
If you are unable to use this file in its current format, please select the Contact Us link and we can modify it to make it more accessible to you.