Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/1890
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dc.contributorDepartment of Electronic and Information Engineering-
dc.creatorWang, HS-
dc.creatorFeng, DD-
dc.creatorHuang, SC-
dc.date.accessioned2014-12-11T08:26:45Z-
dc.date.available2014-12-11T08:26:45Z-
dc.identifier.isbn0-7803-6503-8-
dc.identifier.urihttp://hdl.handle.net/10397/1890-
dc.language.isoenen_US
dc.publisherIEEEen_US
dc.rights© 2001 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.subjectMonte Carlo methodsen_US
dc.subjectImage registrationen_US
dc.subjectMedical image processingen_US
dc.subjectStatistical analysisen_US
dc.titleObjective assessment of 3-D medical image registration results using statistical confidence intervalsen_US
dc.typeConference Paperen_US
dc.description.otherinformationAuthor name used in this publication: Dagan Fengen_US
dc.description.otherinformationRefereed conference paperen_US
dc.identifier.doi10.1109/NSSMIC.2000.949240-
dcterms.abstractIt is of great interest to provide statistical information of image registration results. We successfully proposed a novel automatic approach based on statistical theory to estimate confidence intervals of the parameters in 2-D registrations. In this paper, the theory has been extended to more sophisticated conditions in the current 3-D phantom study.-
dcterms.abstractExtensive Monte Carlo simulations have been conducted and the results are consistent with the calculated confidence intervals when different amounts of displacement and smoothing are presented. The predicted 95% confidence intervals have less then 20% error of their sizes in normal noise conditions. By properly removing the systematic errors, the new theory works well even when large amounts of noise and gray value inconsistency are present in the images. The present results indicate that the use of the statistical confidence intervals developed in this paper can provide an objective assessment for 3-D image registration results.-
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitation2000 IEEE Nuclear Science Symposium conference record : October 15-20, 2000, Lyon, France, v. 3, p. 18/92 - 18/94-
dcterms.issued2001-
dc.identifier.scopus2-s2.0-0034593586-
dc.identifier.rosgroupidr05144-
dc.description.ros2000-2001 > Academic research: refereed > Refereed conference paper-
dc.description.oaVersion of Recorden_US
dc.identifier.FolderNumberOA_IR/PIRAen_US
dc.description.pubStatusPublisheden_US
Appears in Collections:Conference Paper
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