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1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Sitesibgrapi.sid.inpe.br
Holder Codeibi 8JMKD3MGPEW34M/46T9EHH
Identifier8JMKD3MGPEW34M/3U58J2S
Repositorysid.inpe.br/sibgrapi/2019/09.25.22.43
Last Update2019:09.25.22.43.25 (UTC) administrator
Metadata Repositorysid.inpe.br/sibgrapi/2019/09.25.22.43.25
Metadata Last Update2024:04.05.23.31.28 (UTC) administrator
DOI10.1109/SIBGRAPI.2019.00016
Citation KeyStringhiniWelfOrneGama:2019:LoCTDe
TitleLow-Dose CT Dental Image Denoising by Morphological Operators and 3D Filtering
FormatOn-line
Year2019
Access Date2024, Apr. 28
Number of Files1
Size5449 KiB
2. Context
Author1 Stringhini, Romulo Marconato
2 Welfer, Daniel
3 d'Ornellas, Marcos Cordeiro
4 Gamarra, Daniel Fernando Tello
Affiliation1 Federal University of Santa Maria, Brazil
2 Federal University of Santa Maria, Brazil
3 Federal University of Santa Maria, Brazil
4 Federal University of Santa Maria, Brazil
EditorOliveira, Luciano Rebouças de
Sarder, Pinaki
Lage, Marcos
Sadlo, Filip
e-Mail Addressrstringhini@inf.ufsm.br
Conference NameConference on Graphics, Patterns and Images, 32 (SIBGRAPI)
Conference LocationRio de Janeiro, RJ, Brazil
Date28-31 Oct. 2019
PublisherIEEE Computer Society
Publisher CityLos Alamitos
Book TitleProceedings
Tertiary TypeFull Paper
History (UTC)2019-09-25 22:43:25 :: rstringhini@inf.ufsm.br -> administrator ::
2024-04-05 23:31:28 :: administrator -> rstringhini@inf.ufsm.br :: 2019
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Version Typefinaldraft
KeywordsLow-dose
Computed tomography
Noise reduction
Mathematical Morphology
BM3D
PSNR
AbstractThe impact in reducing the radiation dose in computed tomography (CT) exams is directly related to the quality of the images obtained in these exams. Such images are degraded by undesirable artifacts, known as noise. In order to improve the quality of these images and provide an accurate medical diagnosis, it is necessary to apply noise reduction techniques. In this study, a method based on structural segmentation and filtering through morphological operators along with a BM3D filtering is proposed to reduce noise and preserve details in low-dose CT dental images. Experimental results of the proposed method were compared with several existing methods and validated using the PSNR, SSIM, MSE and EPI metrics. Our method demonstrated superior performance among the evaluated filters. In comparison to the filter that obtained the best results, our method had a gain of 12.46% on PSNR, 11.11% on SSIM, 14.5% on MSE and 9.63% on EPI metrics.
Arrangement 1MM > Low-Dose CT Dental...
Arrangement 2urlib.net > SDLA > Fonds > SIBGRAPI 2019 > Low-Dose CT Dental...
Arrangement 3urlib.net > SDLA > Fonds > Full Index > Low-Dose CT Dental...
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4. Conditions of access and use
data URLhttp://urlib.net/ibi/8JMKD3MGPEW34M/3U58J2S
zipped data URLhttp://urlib.net/zip/8JMKD3MGPEW34M/3U58J2S
Languageen
Target FilePaper ID 12.pdf
User Grouprstringhini@inf.ufsm.br
Visibilityshown
Update Permissionnot transferred
5. Allied materials
Mirror Repositorysid.inpe.br/banon/2001/03.30.15.38.24
Next Higher Units8JMKD3MGPCW/4AUUH9L
8JMKD3MGPEW34M/3UA4FNL
8JMKD3MGPEW34M/3UA4FPS
8JMKD3MGPEW34M/4742MCS
Citing Item Listsid.inpe.br/sibgrapi/2019/10.25.18.30.33 1
Host Collectionsid.inpe.br/banon/2001/03.30.15.38
6. Notes
Empty Fieldsarchivingpolicy archivist area callnumber contenttype copyholder copyright creatorhistory descriptionlevel dissemination 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
7. Description control
e-Mail (login)rstringhini@inf.ufsm.br
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