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DC poleHodnotaJazyk
dc.contributor.authorCampoalegre, Lazaro
dc.contributor.authorNavazo, Isabel
dc.contributor.authorBrunet, Pere
dc.contributor.editorSkala, Václav
dc.date.accessioned2016-01-07T06:58:01Z
dc.date.available2016-01-07T06:58:01Z
dc.date.issued2015
dc.identifier.citationJournal of WSCG. 2015, vol. 23, no. 1, p. 19-26.en
dc.identifier.issn1213–6972 (hardcopy)
dc.identifier.issn1213–6980 (CD-ROM)
dc.identifier.issn1213–6964 (online)
dc.identifier.urihttp://wscg.zcu.cz/WSCG2015/!_2015_Journal_WSCG-No-1.pdf
dc.identifier.urihttp://hdl.handle.net/11025/17139
dc.format8 s.cs
dc.format.mimetypeapplication/pdf
dc.language.isoenen
dc.publisherVáclav Skala - UNION Agencycs
dc.relation.ispartofseriesJournal of WSCGen
dc.rights© Václav Skala - UNION Agencycs
dc.subjectobjemové vykreslovánícs
dc.subjectclient-servercs
dc.subjectmobilní zařízenícs
dc.subjectmedicínská datacs
dc.subjectoblast zájmucs
dc.subjectray-castingcs
dc.subjectkomprese objemových datcs
dc.titleHybrid ROI-based visualization of medical modelsen
dc.typečlánekcs
dc.typearticleen
dc.rights.accessopenAccessen
dc.type.versionpublishedVersionen
dc.description.abstract-translatedThere is an increasing interest on tele-medicine and tele-diagnostic solutions based on the remote inspection of volume data coming from multimodal imaging. Client-server architectures meet these functionalities. The use of mobile devices is sometimes required due to the portability and easy maintenance. However, transmission time for the volumetric information and low performance hardware properties, make quite complex the design of efficient visualization systems on these devices. In this paper, we present a hybrid approach which is based on regions of interest (ROIs) and on a transfer-function aware compression scheme. It has a good performance in terms of bandwidth requirements and storage needs in the client device, being flexible enough to represent several materials and volume structures in the ROI. Clients store a low-resolution version of the volume data and ROI-dependent high resolution segmented information. Data must be only sent whenever a new ROI is requested, but interaction in the client is autonomous - without any data transmission - while a certain ROI is inspected. A benchmark is presented to compare the the proposed scheme with three existing approaches, on two different volume data models. The results show that our hybrid approach is compact, efficient and scalable, with compression rates that decrease when the size of the volume model increases.en
dc.subject.translatedvolume renderingen
dc.subject.translatedclient-serveren
dc.subject.translatedmobile devicesen
dc.subject.translatedmedical dataen
dc.subject.translatedregion of interesten
dc.subject.translatedray-castingen
dc.subject.translatedvolume data compressionen
dc.type.statusPeer-revieweden
Vyskytuje se v kolekcích:Volume 23, Number 1 (2015)

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  1. DSpace at University of West Bohemia
  2. Publikace ZČU / UWB Publications
  3. Časopisy ZČU / UWB Journals
  4. Journal of WSCG
  5. Volume 23 (2015)
  6. Volume 23, Number 1 (2015)