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Conference Paper: A new approach for creating customizable cytoarchitectonic probabilistic maps without a template

TitleA new approach for creating customizable cytoarchitectonic probabilistic maps without a template
Authors
Issue Date2009
PublisherSpringer Verlag. The Journal's web site is located at http://springerlink.com/content/105633/
Citation
The 12th International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI 2009), London, UK., 20-24 September 2009. In Lecture Notes In Computer Science, 2009, v. 5762 pt. 2, p. 795-802 How to Cite?
AbstractWe present a novel technique for creating template-free probabilistic maps of the cytoarchitectonic areas using a groupwise registration. We use the technique to transform 10 human post-mortem structural MR data sets, together with their corresponding cytoarchitectonic information, to a common space. We have targeted the cytoarchitectonically defined subregions of the primary auditory cortex. Thanks to the template-free groupwise registration, the created maps are not macroanatomically biased towards a specific geometry/topology. The advantage of the groupwise versus pairwise registration in avoiding such anatomical bias is better revealed in studies with small number of subjects and a high degree of variability among the individuals such as the post-mortem data. A leave-one-out cross-validation method was used to compare the sensitivity, specificity and positive predictive value of the proposed and published maps. We observe a significant improvement in localization of cytoarchitectonically defined subregions in primary auditory cortex using the proposed maps. The proposed maps can be tailored to any subject space by registering the subject image to the average of the groupwise-registered post-mortem images. © 2009 Springer-Verlag.
Persistent Identifierhttp://hdl.handle.net/10722/169885
ISBN
ISSN
2005 Impact Factor: 0.402
2015 SCImago Journal Rankings: 0.252
References

 

DC FieldValueLanguage
dc.contributor.authorTahmasebi, AMen_HK
dc.contributor.authorAbolmaesumi, Pen_HK
dc.contributor.authorGeng, Xen_HK
dc.contributor.authorMorosan, Pen_HK
dc.contributor.authorAmunts, Ken_HK
dc.contributor.authorChristensen, GEen_HK
dc.contributor.authorJohnsrude, ISen_HK
dc.date.accessioned2012-10-25T04:57:50Z-
dc.date.available2012-10-25T04:57:50Z-
dc.date.issued2009en_HK
dc.identifier.citationThe 12th International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI 2009), London, UK., 20-24 September 2009. In Lecture Notes In Computer Science, 2009, v. 5762 pt. 2, p. 795-802en_US
dc.identifier.isbn978-364204270-6-
dc.identifier.issn0302-9743en_HK
dc.identifier.urihttp://hdl.handle.net/10722/169885-
dc.description.abstractWe present a novel technique for creating template-free probabilistic maps of the cytoarchitectonic areas using a groupwise registration. We use the technique to transform 10 human post-mortem structural MR data sets, together with their corresponding cytoarchitectonic information, to a common space. We have targeted the cytoarchitectonically defined subregions of the primary auditory cortex. Thanks to the template-free groupwise registration, the created maps are not macroanatomically biased towards a specific geometry/topology. The advantage of the groupwise versus pairwise registration in avoiding such anatomical bias is better revealed in studies with small number of subjects and a high degree of variability among the individuals such as the post-mortem data. A leave-one-out cross-validation method was used to compare the sensitivity, specificity and positive predictive value of the proposed and published maps. We observe a significant improvement in localization of cytoarchitectonically defined subregions in primary auditory cortex using the proposed maps. The proposed maps can be tailored to any subject space by registering the subject image to the average of the groupwise-registered post-mortem images. © 2009 Springer-Verlag.en_HK
dc.languageengen_US
dc.publisherSpringer Verlag. The Journal's web site is located at http://springerlink.com/content/105633/en_HK
dc.relation.ispartofLecture Notes in Computer Scienceen_HK
dc.titleA new approach for creating customizable cytoarchitectonic probabilistic maps without a templateen_HK
dc.typeConference_Paperen_HK
dc.identifier.emailGeng, X: gengx@hku.hken_HK
dc.identifier.authorityGeng, X=rp01678en_HK
dc.description.naturelink_to_subscribed_fulltexten_US
dc.identifier.doi10.1007/978-3-642-04271-3_96en_HK
dc.identifier.scopuseid_2-s2.0-77952280811en_HK
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-77952280811&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume5762 LNCSen_HK
dc.identifier.issuept. 2en_HK
dc.identifier.spage795en_HK
dc.identifier.epage802en_HK
dc.publisher.placeGermanyen_HK
dc.identifier.scopusauthoridTahmasebi, AM=24436384500en_HK
dc.identifier.scopusauthoridAbolmaesumi, P=6602170125en_HK
dc.identifier.scopusauthoridGeng, X=34771310000en_HK
dc.identifier.scopusauthoridMorosan, P=6506333079en_HK
dc.identifier.scopusauthoridAmunts, K=6701836721en_HK
dc.identifier.scopusauthoridChristensen, GE=7202944649en_HK
dc.identifier.scopusauthoridJohnsrude, IS=7004003478en_HK
dc.customcontrol.immutablesml 160531 amended-

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