Show simple item record

dc.contributor.authorDíaz García, Jesús
dc.contributor.authorBrunet Crosa, Pere
dc.contributor.authorNavazo Álvaro, Isabel
dc.contributor.authorPérez, Frederic
dc.contributor.authorVázquez Alcocer, Pere Pau
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament de Ciències de la Computació
dc.date.accessioned2017-02-09T10:25:55Z
dc.date.available2017-06-01T00:30:17Z
dc.date.issued2016-05-14
dc.identifier.citationDiaz, J., Brunet, P., Navazo, I., Pérez, F., Vazquez, P. Adaptive transfer functions: improved multiresolution visualization of medical models. "The visual computer", 14 Maig 2016, vol. 32, núm. 6, p. 835-845.
dc.identifier.issn0178-2789
dc.identifier.urihttp://hdl.handle.net/2117/100747
dc.descriptionThe final publication is available at Springer via http://dx.doi.org/10.1007/s00371-016-1253-9
dc.description.abstractMedical datasets are continuously increasing in size. Although larger models may be available for certain research purposes, in the common clinical practice the models are usually of up to 512x512x2000 voxels. These resolutions exceed the capabilities of conventional GPUs, the ones usually found in the medical doctors’ desktop PCs. Commercial solutions typically reduce the data by downsampling the dataset iteratively until it fits the available target specifications. The data loss reduces the visualization quality and this is not commonly compensated with other actions that might alleviate its effects. In this paper, we propose adaptive transfer functions, an algorithm that improves the transfer function in downsampled multiresolution models so that the quality of renderings is highly improved. The technique is simple and lightweight, and it is suitable, not only to visualize huge models that would not fit in a GPU, but also to render not-so-large models in mobile GPUs, which are less capable than their desktop counterparts. Moreover, it can also be used to accelerate rendering frame rates using lower levels of the multiresolution hierarchy while still maintaining high-quality results in a focus and context approach. We also show an evaluation of these results based on perceptual metrics.
dc.format.extent11 p.
dc.language.isoeng
dc.publisherSpringer
dc.subjectÀrees temàtiques de la UPC::Enginyeria de la telecomunicació::Processament del senyal::Processament de la imatge i del senyal vídeo
dc.subject.lcshComputer vision
dc.subject.otherTransfer function
dc.subject.otherMultiresolution volume model
dc.subject.otherDirect volume rendering Level of detail
dc.titleAdaptive transfer functions: improved multiresolution visualization of medical models
dc.typeArticle
dc.subject.lemacVisió per ordinador
dc.contributor.groupUniversitat Politècnica de Catalunya. ViRVIG - Grup de Recerca en Visualització, Realitat Virtual i Interacció Gràfica
dc.identifier.doi10.1007/s00371-016-1253-9
dc.description.peerreviewedPeer Reviewed
dc.relation.publisherversionhttp://link.springer.com/article/10.1007%2Fs00371-016-1253-9
dc.rights.accessOpen Access
drac.iddocument19342524
dc.description.versionPostprint (author's final draft)
dc.relation.projectidinfo:eu-repo/grantAgreement/MINECO/1PE/TIN2014-52211-C2-1-R
upcommons.citation.authorDiaz, J., Brunet, P., Navazo, I., Pérez, F., Vazquez, P.
upcommons.citation.publishedtrue
upcommons.citation.publicationNameThe visual computer
upcommons.citation.volume32
upcommons.citation.number6
upcommons.citation.startingPage835
upcommons.citation.endingPage845


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record

All rights reserved. This work is protected by the corresponding intellectual and industrial property rights. Without prejudice to any existing legal exemptions, reproduction, distribution, public communication or transformation of this work are prohibited without permission of the copyright holder