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1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Sitesibgrapi.sid.inpe.br
Holder Codeibi 8JMKD3MGPEW34M/46T9EHH
Identifier8JMKD3MGPBW34M/3EER778
Repositorysid.inpe.br/sibgrapi/2013/07.13.00.46
Last Update2013:07.13.00.46.40 (UTC) administrator
Metadata Repositorysid.inpe.br/sibgrapi/2013/07.13.00.46.40
Metadata Last Update2022:06.14.00.07.54 (UTC) administrator
DOI10.1109/SIBGRAPI.2013.30
Citation KeyAguenaMascAnacFels:2013:MRItSu
TitleMRI Iterative Super Resolution with Wiener Filter Regularization
FormatOn-line.
Year2013
Access Date2024, Apr. 28
Number of Files1
Size1628 KiB
2. Context
Author1 Aguena, Marcia L. S.
2 Mascarenhas, Nelson Delfino d'Ávila
3 Anacleto, Junia C.
4 Fels, Sidney S.
Affiliation1 Federal University of São Carlos
EditorBoyer, Kim
Hirata, Nina
Nedel, Luciana
Silva, Claudio
e-Mail Addressaguena@dc.ufscar.br
Conference NameConference on Graphics, Patterns and Images, 26 (SIBGRAPI)
Conference LocationArequipa, Peru
Date5-8 Aug. 2013
PublisherIEEE Computer Society
Publisher CityLos Alamitos
Book TitleProceedings
Tertiary TypeFull Paper
History (UTC)2013-07-13 00:46:40 :: aguena@dc.ufscar.br -> administrator ::
2022-06-14 00:07:54 :: administrator -> :: 2013
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Version Typefinaldraft
KeywordsSuper-Resolution
Swallowing MRI
Wiener Filter
Conjugate Gradient
Bayesian Regularization
AbstractThe swallowing process affects several aspects of one's welfare, as nutrition, hydration, respiration and hearing. Magnetic resonance imaging (MRI) has been a valuable tool to study swallowing, since it is a non-invasive procedure that can dynamically capture the shapes of the tongue and other elements involved in the process. The resolution enhancement of the MRI frames support directly diseases diagnoses, helping the visual analysis, or can be a pre-processing tool to segmentation, classification, recognition or modelling. MRI frames with better resolution, with less blurring or noise can be obtained changing the acquisition process, or using more powerful devices, but the cost of this solution is higher than applying computational Super-Resolution (SR) techniques. This paper studies a Bayesian approach to provide a Wiener filter to regularize the conjugate gradient solution, and promote an adaptation of an iterative SR method for non-rigid registration that can be generalized to other iterative SR methods.
Arrangement 1urlib.net > SDLA > Fonds > SIBGRAPI 2013 > MRI Iterative Super...
Arrangement 2urlib.net > SDLA > Fonds > Full Index > MRI Iterative Super...
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4. Conditions of access and use
data URLhttp://urlib.net/ibi/8JMKD3MGPBW34M/3EER778
zipped data URLhttp://urlib.net/zip/8JMKD3MGPBW34M/3EER778
Languageen
Target File1252148159.pdf
User Groupaguena@dc.ufscar.br
Visibilityshown
5. Allied materials
Mirror Repositorysid.inpe.br/banon/2001/03.30.15.38.24
Next Higher Units8JMKD3MGPEW34M/46SLB4P
8JMKD3MGPEW34M/4742MCS
Citing Item Listsid.inpe.br/sibgrapi/2022/05.15.04.02 10
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 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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