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1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Sitesibgrapi.sid.inpe.br
Holder Codeibi 8JMKD3MGPEW34M/46T9EHH
Identifier8JMKD3MGPAW/3PJN3PE
Repositorysid.inpe.br/sibgrapi/2017/09.08.14.26
Last Update2017:09.08.14.26.44 (UTC) administrator
Metadata Repositorysid.inpe.br/sibgrapi/2017/09.08.14.26.44
Metadata Last Update2022:05.18.22.18.25 (UTC) administrator
Citation KeyZafalonKovacsFerr:2017:De3DSa
TitleDetection of 3D salient points in magnetic resonance images using the dual-tree complex wavelet transform
FormatOn-line
Year2017
Access Date2024, Oct. 15
Number of Files1
Size684 KiB
2. Context
Author1 Zafalon Kovacs, Nicole
2 Ferrari, Ricardo José
Affiliation1 Universidade Federal de São Carlos
2 Universidade Federal de São Carlos
EditorTorchelsen, Rafael Piccin
Nascimento, Erickson Rangel do
Panozzo, Daniele
Liu, Zicheng
Farias, Mylène
Viera, Thales
Sacht, Leonardo
Ferreira, Nivan
Comba, João Luiz Dihl
Hirata, Nina
Schiavon Porto, Marcelo
Vital, Creto
Pagot, Christian Azambuja
Petronetto, Fabiano
Clua, Esteban
Cardeal, Flávio
e-Mail Addressnicolezk1@gmail.com
Conference NameConference on Graphics, Patterns and Images, 30 (SIBGRAPI)
Conference LocationNiterói, RJ, Brazil
Date17-20 Oct. 2017
PublisherSociedade Brasileira de Computação
Publisher CityPorto Alegre
Book TitleProceedings
Tertiary TypeUndergraduate Work
History (UTC)2017-09-08 14:26:44 :: nicolezk1@gmail.com -> administrator ::
2022-05-18 22:18:25 :: administrator -> :: 2017
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Keywords3D salient points
DT-CWT
MRI
complex wavelets
AbstractDetection of 3D salient points in medical images has many important applications such as image registration and mesh positioning for the purpose of segmentation of important anatomical structures. In this study, we present preliminary results of a proposed method for the detection of 3D salient points in Magnetic Resonance (MR) images of human brain. Our method, which is based on the Dual-Tree Complex Wavelet Transform, combines the oriented wavelet sub-bands (by multiplying the ones on the same scale and upsampling the result to an upper level scale) to create an image map in which local maxima correspond to the salient points. Qualitative assessment was conducted using 566 brain MRI images, whose results were combined together to create a point cloud showing the concentration of the salient points on important brain regions. The results indicate that our method has a great potential to detect important 3D salient points in MR images.
Arrangementurlib.net > SDLA > Fonds > SIBGRAPI 2017 > Detection of 3D...
doc Directory Contentaccess
source Directory Contentthere are no files
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4. Conditions of access and use
data URLhttp://urlib.net/ibi/8JMKD3MGPAW/3PJN3PE
zipped data URLhttp://urlib.net/zip/8JMKD3MGPAW/3PJN3PE
Languageen
Target Fileartigo.pdf
User Groupnicolezk1@gmail.com
Visibilityshown
Update Permissionnot transferred
5. Allied materials
Mirror Repositorysid.inpe.br/banon/2001/03.30.15.38.24
Next Higher Units8JMKD3MGPAW/3PKCC58
Citing Item Listsid.inpe.br/sibgrapi/2017/09.12.13.04 57
sid.inpe.br/banon/2001/03.30.15.38.24 3
Host Collectionsid.inpe.br/banon/2001/03.30.15.38
6. Notes
Empty Fieldsarchivingpolicy archivist area callnumber contenttype copyholder copyright creatorhistory descriptionlevel dissemination doi 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 versiontype volume


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