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@InProceedings{GonçalvesZamBriMacRoc:2017:SyPrCo,
               author = "Gon{\c{c}}alves, Luana and Zampolo, Ronaldo de Freitas and Brito, 
                         Leonardo Miranda de and Macedo, Valqu{\'{\i}}ria Gusm{\~a}o and 
                         Rocha, Fernando Antonio Silva",
          affiliation = "{Department of Electrical and Biomedical Engineering} and 
                         {Department of Computer and Telecommunications Engineering} and 
                         {Department of Electrical and Biomedical Engineering} and 
                         {Department of Electrical and Biomedical Engineering} and {Vila 
                         Rica Medicina Diagnostica}",
                title = "System and protocol for collecting subjective data on clinical 
                         quality of compressed DICOM images",
            booktitle = "Proceedings...",
                 year = "2017",
               editor = "Torchelsen, Rafael Piccin and Nascimento, Erickson Rangel do and 
                         Panozzo, Daniele and Liu, Zicheng and Farias, Myl{\`e}ne and 
                         Viera, Thales and Sacht, Leonardo and Ferreira, Nivan and Comba, 
                         Jo{\~a}o Luiz Dihl and Hirata, Nina and Schiavon Porto, Marcelo 
                         and Vital, Creto and Pagot, Christian Azambuja and Petronetto, 
                         Fabiano and Clua, Esteban and Cardeal, Fl{\'a}vio",
         organization = "Conference on Graphics, Patterns and Images, 30. (SIBGRAPI)",
            publisher = "Sociedade Brasileira de Computa{\c{c}}{\~a}o",
              address = "Porto Alegre",
             keywords = "Visual quality, medical images, image compression.",
             abstract = "Compression 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.",
  conference-location = "Niter{\'o}i, RJ",
      conference-year = "Oct. 17-20, 2017",
             language = "en",
                  ibi = "8JMKD3MGPAW/3PJ5J72",
                  url = "http://urlib.net/rep/8JMKD3MGPAW/3PJ5J72",
           targetfile = "system-protocol-collecting (1).pdf",
        urlaccessdate = "2021, Jan. 21"
}


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