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1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Sitesibgrapi.sid.inpe.br
Holder Codeibi 8JMKD3MGPEW34M/46T9EHH
Identifier6qtX3pFwXQZG2LgkFdY/UPPp9
Repositorysid.inpe.br/sibgrapi@80/2008/07.21.08.21
Last Update2008:07.21.08.21.57 (UTC) administrator
Metadata Repositorysid.inpe.br/sibgrapi@80/2008/07.21.08.21.58
Metadata Last Update2022:06.14.00.13.49 (UTC) administrator
DOI10.1109/SIBGRAPI.2008.16
Citation KeyEskildsenØste:2008:EvFiAl
TitleEvaluation of five algorithms for mapping brain cortical surfaces
FormatPrinted, On-line.
Year2008
Access Date2024, Apr. 27
Number of Files1
Size404 KiB
2. Context
Author1 Eskildsen, Simon Fristed
2 Østergaard, Lasse Riis
Affiliation1 Dept. of Health Science and Technology, Aalborg University
2 Dept. of Health Science and Technology, Aalborg University
EditorJung, Cláudio Rosito
Walter, Marcelo
Conference NameBrazilian Symposium on Computer Graphics and Image Processing, 21 (SIBGRAPI)
Conference LocationCampo Grande, MS, Brazil
Date12-15 Oct. 2008
PublisherIEEE Computer Society
Publisher CityLos Alamitos
Book TitleProceedings
Tertiary TypeFull Paper
History (UTC)2008-07-21 08:21:58 :: se@hst.aau.dk -> administrator ::
2009-08-13 20:39:00 :: administrator -> se@hst.aau.dk ::
2010-08-28 20:03:23 :: se@hst.aau.dk -> administrator ::
2022-06-14 00:13:49 :: administrator -> :: 2008
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Version Typefinaldraft
KeywordsCerebral cortex
surface mapping
MRI
AbstractWith the increasing resolution and contrast of brain imaging devices automatic segmentation and quantification of the human cerebral cortex have grown popular for morphological analyses. The tightly folded cortex is often modeled with surfaces in 3D, and morphological features, such as the cortical thickness, can be calculated. In order to average and compare such morphological features within groups of subjects, mappings between the highly diverse cortical surfaces are needed. In this paper we evaluate five algorithms for mapping between discrete polygonal surfaces of cortices. Among the evaluated algorithms we include a new algorithm based on a functional expressing similarity between geometrical features. Four numerical mapping criteria, a landmark test, and statistical maps are used to evaluate the mapping algorithms. We show that the accuracy of manually placed landmarks are difficult to reproduce automatically, and the choice of mapping algorithm impacts the conclusions drawn from statistical maps generated by use of the algorithm. In terms of landmark accuracy, a spherical mapping approach with non-linear optimization is shown to be the best of the tested algorithms.
Arrangement 1urlib.net > SDLA > Fonds > SIBGRAPI 2008 > Evaluation of five...
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4. Conditions of access and use
data URLhttp://urlib.net/ibi/6qtX3pFwXQZG2LgkFdY/UPPp9
zipped data URLhttp://urlib.net/zip/6qtX3pFwXQZG2LgkFdY/UPPp9
Languageen
Target Fileeskildsen-CorticalMapping.pdf
User Groupse@hst.aau.dk
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Visibilityshown
5. Allied materials
Mirror Repositorysid.inpe.br/banon/2001/03.30.15.38.24
Next Higher Units8JMKD3MGPEW34M/46SG4TH
8JMKD3MGPEW34M/4742MCS
Citing Item Listsid.inpe.br/sibgrapi/2022/05.14.04.55 1
Host Collectionsid.inpe.br/banon/2001/03.30.15.38
6. Notes
Empty Fieldsarchivingpolicy archivist area callnumber contenttype copyholder copyright creatorhistory descriptionlevel dissemination documentstage e-mailaddress edition electronicmailaddress group isbn issn label lineage mark nextedition notes numberofvolumes orcid organization pages parameterlist parentrepositories previousedition previouslowerunit progress project readergroup readpermission resumeid rightsholder schedulinginformation secondarydate secondarykey secondarymark secondarytype serieseditor session shorttitle sponsor subject tertiarymark type url volume


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