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Reference TypeConference Paper (Conference Proceedings)
Sitesibgrapi.sid.inpe.br
Identifier8JMKD3MGPAW/3PJ5J72
Repositorysid.inpe.br/sibgrapi/2017/09.04.20.24
Last Update2017:09.04.20.24.06 luanagoncalves4@live.com
Metadatasid.inpe.br/sibgrapi/2017/09.04.20.24.06
Metadata Last Update2020:02.20.22.06.47 administrator
Citation KeyGonçalvesZamBriMacRoc:2017:SyPrCo
TitleSystem and protocol for collecting subjective data on clinical quality of compressed DICOM images
FormatOn-line
Year2017
Access Date2021, Jan. 26
Number of Files1
Size475 KiB
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Author1 Gonçalves, Luana
2 Zampolo, Ronaldo de Freitas
3 Brito, Leonardo Miranda de
4 Macedo, Valquíria Gusmão
5 Rocha, Fernando Antonio Silva
Affiliation1 Department of Electrical and Biomedical Engineering
2 Department of Computer and Telecommunications Engineering
3 Department of Electrical and Biomedical Engineering
4 Department of Electrical and Biomedical Engineering
5 Vila Rica Medicina Diagnostica
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 Addressluanagoncalves4@live.com
Conference NameConference on Graphics, Patterns and Images, 30 (SIBGRAPI)
Conference LocationNiterói, RJ
DateOct. 17-20, 2017
Book TitleProceedings
PublisherSociedade Brasileira de Computação
Publisher CityPorto Alegre
Tertiary TypeWork in Progress
History2017-09-04 20:24:06 :: luanagoncalves4@live.com -> administrator ::
2020-02-20 22:06:47 :: administrator -> :: 2017
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Is the master or a copy?is the master
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Transferable1
KeywordsVisual quality, medical images, image compression.
AbstractCompression in medical images has the potential to reduce costs in data transmission and storage in Picture Archiving and Communications Systems (PACS). In this case, the availability of adaptive schemes for codec tuning would be worthwhile for maximising compression and, at the same time, avoiding quality loss, considering the diagnostic value of such images. However, ordinary visual quality metrics are not usually developed considering this specific context. In this paper, we present a system and a protocol for subjective data acquisition, which aims at the modelling of the quality assessment criteria applied by experts in the preliminary phase of a medical analysis. The system is implemented by using Python/PsychoPy, and the experimental protocol following ITU recommendations and criteria defined in the European Guidelines on Quality Criteria for Computed Tomography. Snapshots of the graphic user interface are exhibited, but emphasis is given on the proposed experimental procedure.
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data URLhttp://urlib.net/rep/8JMKD3MGPAW/3PJ5J72
zipped data URLhttp://urlib.net/zip/8JMKD3MGPAW/3PJ5J72
Languageen
Target Filesystem-protocol-collecting (1).pdf
User Groupluanagoncalves4@live.com
Visibilityshown
Update Permissionnot transferred
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Mirror Repositorysid.inpe.br/banon/2001/03.30.15.38.24
Next Higher Units8JMKD3MGPAW/3PJT9LS
8JMKD3MGPAW/3PKCC58
Host Collectionsid.inpe.br/banon/2001/03.30.15.38
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