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Hybrid ROI-based visualization of medical models
dc.contributor.author | Campoalegre Vera, Lazaro |
dc.contributor.author | Navazo Álvaro, Isabel |
dc.contributor.author | Brunet Crosa, Pere |
dc.contributor.other | Universitat Politècnica de Catalunya. Departament de Ciències de la Computació |
dc.date.accessioned | 2016-04-06T12:24:28Z |
dc.date.issued | 2015 |
dc.identifier.citation | Campoalegre, L., Navazo, I., Brunet, P. Hybrid ROI-based visualization of medical models. A: International Conferences in Central Europe on Computer Graphics, Visualization and Computer Vision. "Journal of WSCG, 2015, vol. 23, no. 1". Plzen: 2015, p. 19-26. |
dc.identifier.isbn | 1213-6972 |
dc.identifier.uri | http://hdl.handle.net/2117/85297 |
dc.description.abstract | There 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 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. |
dc.format.extent | 8 p. |
dc.language.iso | eng |
dc.subject | Àrees temàtiques de la UPC::Informàtica::Aplicacions de la informàtica |
dc.subject | Àrees temàtiques de la UPC::Informàtica::Infografia |
dc.subject.lcsh | Diagnostic imaging -- Data processing |
dc.subject.lcsh | Information visualization |
dc.subject.other | Volume rendering |
dc.subject.other | Client-server |
dc.subject.other | Mobile devices |
dc.subject.other | Medical data |
dc.subject.other | Region of interest |
dc.subject.other | Ray-casting |
dc.subject.other | Volume data compression |
dc.title | Hybrid ROI-based visualization of medical models |
dc.type | Conference lecture |
dc.subject.lemac | Diagnòstic per la imatge |
dc.subject.lemac | Visualització de la informació |
dc.contributor.group | Universitat Politècnica de Catalunya. ViRVIG - Grup de Recerca en Visualització, Realitat Virtual i Interacció Gràfica |
dc.description.peerreviewed | Peer Reviewed |
dc.relation.publisherversion | http://wscg.zcu.cz/JWSCG/ |
dc.rights.access | Open Access |
local.identifier.drac | 17552952 |
dc.description.version | Postprint (published version) |
dc.date.lift | 10000-01-01 |
local.citation.author | Campoalegre, L.; Navazo, I.; Brunet, P. |
local.citation.contributor | International Conferences in Central Europe on Computer Graphics, Visualization and Computer Vision |
local.citation.pubplace | Plzen |
local.citation.publicationName | Journal of WSCG, 2015, vol. 23, no. 1 |
local.citation.startingPage | 19 |
local.citation.endingPage | 26 |