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Article: First-pass myocardial perfusion image registration by maximization of normalized mutual information

TitleFirst-pass myocardial perfusion image registration by maximization of normalized mutual information
Authors
KeywordsMR myocardial perfusion registration
Normalized mutual information
Quantitative perfusion analysis
Issue Date2008
PublisherJohn Wiley & Sons, Inc. The Journal's web site is located at http://www.interscience.wiley.com/jpages/1053-1807/
Citation
Journal Of Magnetic Resonance Imaging, 2008, v. 27 n. 3, p. 529-537 How to Cite?
AbstractPurpose: To evaluate a left ventricular image registration algorithm for first-pass MR myocardial perfusion. Materials and Methods: A normalized mutual information based motion correction algorithm was proposed and tested on 27 adenosine stressed myocardial perfusion cases consisting of pretreatment and posttreatment of 15 patients undergone autologous bone marrow mononuclear cell transplant therapy. An image mask approximately covering the left and right ventricles was manually defined to include a region of interest for registration. A two-dimensional multiresolution registration approach was used to register consecutively acquired multislice images with in-plane translations. The method was validated by manual registration and singular value deconvolution based perfusion analysis. Results: The proposed image registration algorithm was found to be robust in minimizing the in-plane motion of the left ventricle in first-pass myocardial perfusion. The image mask including the left and right ventricle was found to be more robust than including the left ventricle alone. A smooth estimate of normalized mutual Information coefficients were achieved for images with large contrast changes. Conclusion: The proposed semiautomatic multlresolution registration algorithm was able to register first-pass MR myocardial perfusion images and may be useful in quantitative perfusion analysis. © 2008 Wiley-Liss, Inc.
Persistent Identifierhttp://hdl.handle.net/10722/74120
ISSN
2015 Impact Factor: 3.25
2015 SCImago Journal Rankings: 1.683
ISI Accession Number ID
References

 

DC FieldValueLanguage
dc.contributor.authorWong, KKen_HK
dc.contributor.authorYang, ESen_HK
dc.contributor.authorWu, EXen_HK
dc.contributor.authorTse, HFen_HK
dc.contributor.authorWong, STen_HK
dc.date.accessioned2010-09-06T06:58:00Z-
dc.date.available2010-09-06T06:58:00Z-
dc.date.issued2008en_HK
dc.identifier.citationJournal Of Magnetic Resonance Imaging, 2008, v. 27 n. 3, p. 529-537en_HK
dc.identifier.issn1053-1807en_HK
dc.identifier.urihttp://hdl.handle.net/10722/74120-
dc.description.abstractPurpose: To evaluate a left ventricular image registration algorithm for first-pass MR myocardial perfusion. Materials and Methods: A normalized mutual information based motion correction algorithm was proposed and tested on 27 adenosine stressed myocardial perfusion cases consisting of pretreatment and posttreatment of 15 patients undergone autologous bone marrow mononuclear cell transplant therapy. An image mask approximately covering the left and right ventricles was manually defined to include a region of interest for registration. A two-dimensional multiresolution registration approach was used to register consecutively acquired multislice images with in-plane translations. The method was validated by manual registration and singular value deconvolution based perfusion analysis. Results: The proposed image registration algorithm was found to be robust in minimizing the in-plane motion of the left ventricle in first-pass myocardial perfusion. The image mask including the left and right ventricle was found to be more robust than including the left ventricle alone. A smooth estimate of normalized mutual Information coefficients were achieved for images with large contrast changes. Conclusion: The proposed semiautomatic multlresolution registration algorithm was able to register first-pass MR myocardial perfusion images and may be useful in quantitative perfusion analysis. © 2008 Wiley-Liss, Inc.en_HK
dc.languageengen_HK
dc.publisherJohn Wiley & Sons, Inc. The Journal's web site is located at http://www.interscience.wiley.com/jpages/1053-1807/en_HK
dc.relation.ispartofJournal of Magnetic Resonance Imagingen_HK
dc.rightsJournal of Magnetic Resonance Imaging. Copyright © John Wiley & Sons, Inc.en_HK
dc.subjectMR myocardial perfusion registrationen_HK
dc.subjectNormalized mutual informationen_HK
dc.subjectQuantitative perfusion analysisen_HK
dc.subject.meshAlgorithmsen_HK
dc.subject.meshBone Marrow Transplantationen_HK
dc.subject.meshHumansen_HK
dc.subject.meshMagnetic Resonance Angiography - methodsen_HK
dc.subject.meshMiddle Ageden_HK
dc.subject.meshVentricular Functionen_HK
dc.titleFirst-pass myocardial perfusion image registration by maximization of normalized mutual informationen_HK
dc.typeArticleen_HK
dc.identifier.openurlhttp://library.hku.hk:4550/resserv?sid=HKU:IR&issn=1053-1807&volume=27&spage=529&epage=537&date=2008&atitle=First-pass+myocardial+perfusion+image+registration+by+maximization+of+normalized+mutual+informationen_HK
dc.identifier.emailYang, ES:esyang@hkueee.hku.hken_HK
dc.identifier.emailWu, EX:ewu1@hkucc.hku.hken_HK
dc.identifier.emailTse, HF:hftse@hkucc.hku.hken_HK
dc.identifier.authorityYang, ES=rp00199en_HK
dc.identifier.authorityWu, EX=rp00193en_HK
dc.identifier.authorityTse, HF=rp00428en_HK
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1002/jmri.21254en_HK
dc.identifier.pmid18183575-
dc.identifier.scopuseid_2-s2.0-40449137625en_HK
dc.identifier.hkuros141489en_HK
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-40449137625&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume27en_HK
dc.identifier.issue3en_HK
dc.identifier.spage529en_HK
dc.identifier.epage537en_HK
dc.identifier.isiWOS:000253949300014-
dc.publisher.placeUnited Statesen_HK
dc.identifier.scopusauthoridWong, KK=35222708000en_HK
dc.identifier.scopusauthoridYang, ES=7202021229en_HK
dc.identifier.scopusauthoridWu, EX=7202128034en_HK
dc.identifier.scopusauthoridTse, HF=7006070805en_HK
dc.identifier.scopusauthoridWong, ST=24726534400en_HK

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