1. Identity statement | |
Reference Type | Conference Paper (Conference Proceedings) |
Site | sibgrapi.sid.inpe.br |
Holder Code | ibi 8JMKD3MGPEW34M/46T9EHH |
Identifier | 8JMKD3MGPBW34M/3JMN38B |
Repository | sid.inpe.br/sibgrapi/2015/06.19.16.09 |
Last Update | 2015:06.19.16.09.00 (UTC) administrator |
Metadata Repository | sid.inpe.br/sibgrapi/2015/06.19.16.09.01 |
Metadata Last Update | 2022:06.14.00.08.04 (UTC) administrator |
DOI | 10.1109/SIBGRAPI.2015.42 |
Citation Key | AssisSalvMascLeva:2015:PrPo |
Title | Double Noise Filtering in CT: Pre- and Post-Reconstruction |
Format | On-line |
Year | 2015 |
Access Date | 2024, May 16 |
Number of Files | 1 |
Size | 1027 KiB |
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2. Context | |
Author | 1 Assis, Vinicius Covre de 2 Salvadeo, Denis Henrique Pinheiro 3 Mascarenhas, Nelson Delfino d'Ávila 4 Levada, Alexandre Luís Magalhães |
Affiliation | 1 State University of São Paulo 2 State University of São Paulo 3 Faculdade Campo Limpo Paulista 4 Federal University of Sa ̃o Carlos |
Editor | Papa, João Paulo Sander, Pedro Vieira Marroquim, Ricardo Guerra Farrell, Ryan |
e-Mail Address | viniassis@me.com |
Conference Name | Conference on Graphics, Patterns and Images, 28 (SIBGRAPI) |
Conference Location | Salvador, BA, Brazil |
Date | 26-29 Aug. 2015 |
Publisher | IEEE Computer Society |
Publisher City | Los Alamitos |
Book Title | Proceedings |
Tertiary Type | Full Paper |
History (UTC) | 2015-06-19 16:09:01 :: viniassis@me.com -> administrator :: 2022-06-14 00:08:04 :: administrator -> :: 2015 |
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3. Content and structure | |
Is the master or a copy? | is the master |
Content Stage | completed |
Transferable | 1 |
Version Type | finaldraft |
Keywords | computed tomography (CT) double denoising |
Abstract | Motivated by the ALARA (As Low As Reasonably Achievable) principle, this paper proposes to denoise Computed Tomography (CT) images by using a double-filtering approach. First, projection data were filtered using methods to filter Poisson noise (pre-filtering step). Then the filtered backprojection (FBP) algorithm was applied to image reconstruction. After, the reconstructed images were denoised by using suitable methods for filtering Gaussian noise (post-filtering step). Finally, known metrics of image quality evaluation (such as SSIM and PSNR) were used to compare the filtered images with the ones considered ideal images in various combinations of filters. The results lead to the conclusion that a second filtering applied on image domain can improve the CT denoising quality from pre-filtering step. Thus, CT double-filtering strategy achieved a better balance between noise reduction and details preservation. |
Arrangement 1 | urlib.net > SDLA > Fonds > SIBGRAPI 2015 > Double Noise Filtering... |
Arrangement 2 | urlib.net > SDLA > Fonds > Full Index > Double Noise Filtering... |
doc Directory Content | access |
source Directory Content | there are no files |
agreement Directory Content | |
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4. Conditions of access and use | |
data URL | http://urlib.net/ibi/8JMKD3MGPBW34M/3JMN38B |
zipped data URL | http://urlib.net/zip/8JMKD3MGPBW34M/3JMN38B |
Language | en |
Target File | PID3771603.pdf |
User Group | viniassis@me.com |
Visibility | shown |
Update Permission | not transferred |
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5. Allied materials | |
Mirror Repository | sid.inpe.br/banon/2001/03.30.15.38.24 |
Next Higher Units | 8JMKD3MGPBW34M/3K24PF8 8JMKD3MGPEW34M/4742MCS |
Citing Item List | sid.inpe.br/sibgrapi/2015/08.03.22.49 10 sid.inpe.br/banon/2001/03.30.15.38.24 8 |
Host Collection | sid.inpe.br/banon/2001/03.30.15.38 |
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6. Notes | |
Empty Fields | archivingpolicy 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 |
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