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Article: Improving excitation and inversion accuracy by optimized RF pulse using genetic algorithm

TitleImproving excitation and inversion accuracy by optimized RF pulse using genetic algorithm
Authors
KeywordsGenetic algorithm
Multidimensional spatial selective pulse
Passband
Stopband
Issue Date2007
PublisherAcademic Press. The Journal's web site is located at http://www.elsevier.com/locate/yjmre
Citation
Journal Of Magnetic Resonance, 2007, v. 186 n. 1, p. 86-93 How to Cite?
AbstractIn this study, a Genetic Algorithm (GA) is introduced to optimize the multidimensional spatial selective RF pulse to reduce the passband and stopband errors of excitation profile while limiting the transition width. This method is also used to diminish the nonlinearity effect of the Bloch equation for large tip angle excitation pulse design. The RF pulse is first designed by the k-space method and then coded into float strings to form an initial population. GA operators are then applied to this population to perform evolution, which is an optimization process. In this process, an evaluation function defined as the sum of the reciprocal of passband and stopband errors is used to assess the fitness value of each individual, so as to find the best individual in current generation. It is possible to optimize the RF pulse after a number of iterations. Simulation results of the Bloch equation show that in a 90° excitation pulse design, compared with the k-space method, a GA-optimized RF pulse can reduce the passband and stopband error by 12% and 3%, respectively, while maintaining the transition width within 2 cm (about 12% of the whole 32 cm FOV). In a 180° inversion pulse design, the passband error can be reduced by 43%, while the transition is also kept at 2 cm in a whole 32 cm FOV. © 2007 Elsevier Inc. All rights reserved.
Persistent Identifierhttp://hdl.handle.net/10722/73632
ISSN
2015 Impact Factor: 2.889
2015 SCImago Journal Rankings: 1.157
ISI Accession Number ID
References

 

DC FieldValueLanguage
dc.contributor.authorPang, Yen_HK
dc.contributor.authorShen, GXen_HK
dc.date.accessioned2010-09-06T06:53:15Z-
dc.date.available2010-09-06T06:53:15Z-
dc.date.issued2007en_HK
dc.identifier.citationJournal Of Magnetic Resonance, 2007, v. 186 n. 1, p. 86-93en_HK
dc.identifier.issn1090-7807en_HK
dc.identifier.urihttp://hdl.handle.net/10722/73632-
dc.description.abstractIn this study, a Genetic Algorithm (GA) is introduced to optimize the multidimensional spatial selective RF pulse to reduce the passband and stopband errors of excitation profile while limiting the transition width. This method is also used to diminish the nonlinearity effect of the Bloch equation for large tip angle excitation pulse design. The RF pulse is first designed by the k-space method and then coded into float strings to form an initial population. GA operators are then applied to this population to perform evolution, which is an optimization process. In this process, an evaluation function defined as the sum of the reciprocal of passband and stopband errors is used to assess the fitness value of each individual, so as to find the best individual in current generation. It is possible to optimize the RF pulse after a number of iterations. Simulation results of the Bloch equation show that in a 90° excitation pulse design, compared with the k-space method, a GA-optimized RF pulse can reduce the passband and stopband error by 12% and 3%, respectively, while maintaining the transition width within 2 cm (about 12% of the whole 32 cm FOV). In a 180° inversion pulse design, the passband error can be reduced by 43%, while the transition is also kept at 2 cm in a whole 32 cm FOV. © 2007 Elsevier Inc. All rights reserved.en_HK
dc.languageengen_HK
dc.publisherAcademic Press. The Journal's web site is located at http://www.elsevier.com/locate/yjmreen_HK
dc.relation.ispartofJournal of Magnetic Resonanceen_HK
dc.subjectGenetic algorithmen_HK
dc.subjectMultidimensional spatial selective pulseen_HK
dc.subjectPassbanden_HK
dc.subjectStopbanden_HK
dc.titleImproving excitation and inversion accuracy by optimized RF pulse using genetic algorithmen_HK
dc.typeArticleen_HK
dc.identifier.openurlhttp://library.hku.hk:4550/resserv?sid=HKU:IR&issn=1090-7807&volume=186&spage=86&epage=93&date=2007&atitle=Improving+Excitation+And+Inversion+Accuracy+By+Optimized+Rf+Pulse+Using+Genetic+Algorithm+en_HK
dc.identifier.emailShen, GX: gxshen@eee.hku.hken_HK
dc.identifier.authorityShen, GX=rp00166en_HK
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1016/j.jmr.2007.01.016en_HK
dc.identifier.pmid17379555en_HK
dc.identifier.scopuseid_2-s2.0-34247330544en_HK
dc.identifier.hkuros137399en_HK
dc.identifier.hkuros132655-
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-34247330544&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume186en_HK
dc.identifier.issue1en_HK
dc.identifier.spage86en_HK
dc.identifier.epage93en_HK
dc.identifier.isiWOS:000246494300009-
dc.publisher.placeUnited Statesen_HK
dc.identifier.scopusauthoridPang, Y=16239571200en_HK
dc.identifier.scopusauthoridShen, GX=7401967224en_HK

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