Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/1892
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dc.contributorDepartment of Electronic and Information Engineering-
dc.creatorLaw, W-
dc.creatorFeng, DD-
dc.creatorWong, KP-
dc.creatorWang, X-
dc.date.accessioned2014-12-11T08:26:45Z-
dc.date.available2014-12-11T08:26:45Z-
dc.identifier.isbn0-7803-8687-6-
dc.identifier.urihttp://hdl.handle.net/10397/1892-
dc.language.isoenen_US
dc.publisherIEEEen_US
dc.rights© 2004 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.en_US
dc.rightsThis material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.en_US
dc.subjectBiomedical MRIen_US
dc.subjectBrainen_US
dc.subjectComputerised tomographyen_US
dc.subjectDifferential geometryen_US
dc.subjectFeature extractionen_US
dc.subjectImage registrationen_US
dc.subjectMathematical operatorsen_US
dc.subjectMedical image processingen_US
dc.subjectOptimisationen_US
dc.subjectSplines (mathematics)en_US
dc.titleAn automated elastic image registration method for CT and MR brain imagesen_US
dc.typeConference Paperen_US
dc.description.otherinformationAuthor name used in this publication: Dagan David Fengen_US
dc.description.otherinformationCentre for Multimedia Signal Processing, Department of Electronic and Information Engineeringen_US
dc.description.otherinformationRefereed conference paperen_US
dc.identifier.doi10.1109/ISIMP.2004.1434072-
dcterms.abstractIn this paper, an automated approach to register CT and MR brain images based on mutual information and landmark features is described. Images are first rigidly registered by maximization of mutual information. Geometrical feature is then exploited by a differential-geometrical operator. Landmarks are searched in the geometrical feature and registered elastically by thin-plate splines. Experimental results of 2D MR-TI to CT and MR-T2 to CT registration are presented.-
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationISIMP 2004 : proceedings of 2004 International Symposium on Intelligent Multimedia, Video and Speech Processing : October 20-22, 2004, Hong Kong, p. 350-353-
dcterms.issued2004-
dc.identifier.isiWOS:000227714000088-
dc.identifier.scopus2-s2.0-14544304038-
dc.identifier.rosgroupidr24303-
dc.description.ros2004-2005 > Academic research: refereed > Refereed conference paper-
dc.description.oaVersion of Recorden_US
dc.identifier.FolderNumberOA_IR/PIRAen_US
dc.description.pubStatusPublisheden_US
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