Joint design of trajectory and RF pulses for parallel excitation
dc.contributor.author | Yip, Chun-Yu | en_US |
dc.contributor.author | Grissom, William Allyn | en_US |
dc.contributor.author | Fessler, Jeffrey A. | en_US |
dc.contributor.author | Noll, Douglas C. | en_US |
dc.date.accessioned | 2007-09-20T19:04:47Z | |
dc.date.available | 2008-09-08T14:25:14Z | en_US |
dc.date.issued | 2007-09 | en_US |
dc.identifier.citation | Yip, Chun-Yu; Grissom, William A.; Fessler, Jeffrey A.; Noll, Douglas C. (2007)."Joint design of trajectory and RF pulses for parallel excitation." Magnetic Resonance in Medicine 58(3): 598-604. <http://hdl.handle.net/2027.42/56136> | en_US |
dc.identifier.issn | 0740-3194 | en_US |
dc.identifier.issn | 1522-2594 | en_US |
dc.identifier.uri | https://hdl.handle.net/2027.42/56136 | |
dc.identifier.uri | http://www.ncbi.nlm.nih.gov/sites/entrez?cmd=retrieve&db=pubmed&list_uids=17763362&dopt=citation | en_US |
dc.description.abstract | We propose an alternating optimization framework for the joint design of excitation k-space trajectory and RF pulses for small-tip-angle parallel excitation. Using Bloch simulations, we show that compared with conventional designs with predetermined trajectories, joint designs can often excite target patterns with improved accuracy and reduced total integrated pulse power, particularly at high reduction factors. These benefits come at a modest increase in computational time. Magn Reson Med 58:598–604, 2007. © 2007 Wiley-Liss, Inc. | en_US |
dc.format.extent | 503186 bytes | |
dc.format.extent | 3118 bytes | |
dc.format.mimetype | application/pdf | |
dc.format.mimetype | text/plain | |
dc.publisher | Wiley Subscription Services, Inc., A Wiley Company | en_US |
dc.subject.other | Life and Medical Sciences | en_US |
dc.subject.other | Imaging | en_US |
dc.title | Joint design of trajectory and RF pulses for parallel excitation | en_US |
dc.type | Article | en_US |
dc.rights.robots | IndexNoFollow | en_US |
dc.subject.hlbtoplevel | Health Sciences | en_US |
dc.description.peerreviewed | Peer Reviewed | en_US |
dc.contributor.affiliationum | Department of Electrical Engineering and Computer Science, University of Michigan, Ann Arbor, Michigan ; Functional MRI Laboratory, University of Michigan, 2360 Bonisteel Ave., Ann Arbor, MI 48109-2108, USA | en_US |
dc.contributor.affiliationum | Department of Biomedical Engineering, University of Michigan, Ann Arbor, Michigan | en_US |
dc.contributor.affiliationum | Department of Electrical Engineering and Computer Science, University of Michigan, Ann Arbor, Michigan ; Department of Biomedical Engineering, University of Michigan, Ann Arbor, Michigan | en_US |
dc.contributor.affiliationum | Department of Biomedical Engineering, University of Michigan, Ann Arbor, Michigan | en_US |
dc.identifier.pmid | 17763362 | en_US |
dc.description.bitstreamurl | http://deepblue.lib.umich.edu/bitstream/2027.42/56136/1/21262_ftp.pdf | en_US |
dc.identifier.doi | http://dx.doi.org/10.1002/mrm.21262 | en_US |
dc.identifier.source | Magnetic Resonance in Medicine | en_US |
dc.owningcollname | Interdisciplinary and Peer-Reviewed |
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