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1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Sitesibgrapi.sid.inpe.br
Holder Codeibi 8JMKD3MGPEW34M/46T9EHH
Identifier8JMKD3MGPBW34M/387RFNL
Repositorysid.inpe.br/sibgrapi/2010/09.07.14.18
Last Update2010:09.07.14.18.53 (UTC) administrator
Metadata Repositorysid.inpe.br/sibgrapi/2010/09.07.14.18.53
Metadata Last Update2022:06.14.00.06.59 (UTC) administrator
DOI10.1109/SIBGRAPI.2010.15
Citation KeyOsorioIsoaMato:2010:DeCTRe
TitleDeformable CT registration using Fourier basis functions in 3D
FormatPrinted, On-line.
Year2010
Access Date2024, May 03
Number of Files1
Size982 KiB
2. Context
Author1 Osorio, Amílcar Remigio
2 Isoardi, Roberto Andrés
3 Mato, Germán
Affiliation1 Fundación Centro Diagnóstico Nuclear, Buenos Aires, Argentina
2 Fundación Escuela de Medicina Nuclear, Mendoza, Argentina
3 Grupo Física Estadística, Centro Atómico Bariloche, Bariloche, Argentina
EditorBellon, Olga
Esperança, Claudio
e-Mail Addressrisoardi@ieee.org
Conference NameConference on Graphics, Patterns and Images, 23 (SIBGRAPI)
Conference LocationGramado, RS, Brazil
Date30 Aug.-3 Sep. 2010
PublisherIEEE Computer Society
Publisher CityLos Alamitos
Book TitleProceedings
Tertiary TypeFull Paper
History (UTC)2010-10-01 04:19:39 :: risoardi@ieee.org -> administrator :: 2010
2022-06-14 00:06:59 :: administrator -> :: 2010
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Version Typefinaldraft
KeywordsImage segmentation
Bayesian analysis
MRI
AbstractNon-rigid medical image registration is an essential tool when studying deformable regions such as thorax and abdomen. In this paper we propose an algorithm based on Fourier transformations with trigonometric Fourier basis functions at different orders combined with a subdivision scheme in order to attain spatial alignment of two corresponding Computed Tomography (CT) volumes, with small to moderate deformations. The performance of the algorithm was analyzed as a function of the transformation order (n) and the number of volume subdivisions along each axis (s). The results show that a suitable parameter choice is n=2, s=3-4. The algorithm was validated by correcting clinical images previously deformed with Thin-Plate Splines (TPS), and also applied to coregister different scans of a given subject after repositioning on the scanner bed. This method is automatic and does not require previous segmentation or landmark selection. Average registration errors with the optimal parameters were estimated in approximately 3 mm, and typical computing time is of the order of a few minutes in a standard personal computer. We have found that Fourier basis functions provide an efficient way to implement non-rigid registration.
Arrangement 1urlib.net > SDLA > Fonds > SIBGRAPI 2010 > Deformable CT registration...
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4. Conditions of access and use
data URLhttp://urlib.net/ibi/8JMKD3MGPBW34M/387RFNL
zipped data URLhttp://urlib.net/zip/8JMKD3MGPBW34M/387RFNL
Languageen
Target File70636-jul05.pdf
User Grouprisoardi@ieee.org
Visibilityshown
5. Allied materials
Next Higher Units8JMKD3MGPEW34M/46SJT6B
8JMKD3MGPEW34M/4742MCS
Citing Item Listsid.inpe.br/sibgrapi/2022/05.14.20.21 4
Host Collectionsid.inpe.br/banon/2001/03.30.15.38
6. Notes
Empty Fieldsarchivingpolicy archivist area callnumber contenttype copyholder copyright creatorhistory descriptionlevel dissemination documentstage edition electronicmailaddress group isbn issn label lineage mark mirrorrepository 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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