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		<identifier>8JMKD3MGPAW/3PJ5J72</identifier>
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		<citationkey>GonçalvesZamBriMacRoc:2017:SyPrCo</citationkey>
		<title>System and protocol for collecting subjective data on clinical quality of compressed DICOM images</title>
		<format>On-line</format>
		<year>2017</year>
		<date>Oct. 17-20, 2017</date>
		<numberoffiles>1</numberoffiles>
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		<author>Gonçalves, Luana,</author>
		<author>Zampolo, Ronaldo de Freitas,</author>
		<author>Brito, Leonardo Miranda de,</author>
		<author>Macedo, Valquíria Gusmão,</author>
		<author>Rocha, Fernando Antonio Silva,</author>
		<affiliation>Department of Electrical and Biomedical Engineering</affiliation>
		<affiliation>Department of Computer and Telecommunications Engineering</affiliation>
		<affiliation>Department of Electrical and Biomedical Engineering</affiliation>
		<affiliation>Department of Electrical and Biomedical Engineering</affiliation>
		<affiliation>Vila Rica Medicina Diagnostica</affiliation>
		<editor>Torchelsen, Rafael Piccin,</editor>
		<editor>Nascimento, Erickson Rangel do,</editor>
		<editor>Panozzo, Daniele,</editor>
		<editor>Liu, Zicheng,</editor>
		<editor>Farias, Mylène,</editor>
		<editor>Viera, Thales,</editor>
		<editor>Sacht, Leonardo,</editor>
		<editor>Ferreira, Nivan,</editor>
		<editor>Comba, João Luiz Dihl,</editor>
		<editor>Hirata, Nina,</editor>
		<editor>Schiavon Porto, Marcelo,</editor>
		<editor>Vital, Creto,</editor>
		<editor>Pagot, Christian Azambuja,</editor>
		<editor>Petronetto, Fabiano,</editor>
		<editor>Clua, Esteban,</editor>
		<editor>Cardeal, Flávio,</editor>
		<e-mailaddress>luanagoncalves4@live.com</e-mailaddress>
		<conferencename>Conference on Graphics, Patterns and Images, 30 (SIBGRAPI)</conferencename>
		<conferencelocation>Niterói, RJ</conferencelocation>
		<booktitle>Proceedings</booktitle>
		<publisher>Sociedade Brasileira de Computação</publisher>
		<publisheraddress>Porto Alegre</publisheraddress>
		<tertiarytype>Work in Progress</tertiarytype>
		<transferableflag>1</transferableflag>
		<keywords>Visual quality, medical images, image compression.</keywords>
		<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.</abstract>
		<language>en</language>
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