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Data-aware picking for medical models
dc.contributor.author | Monclús Lahoya, Eva |
dc.contributor.author | Vázquez Alcocer, Pere Pau |
dc.contributor.author | Navazo Álvaro, Isabel |
dc.contributor.other | Universitat Politècnica de Catalunya. Departament de Ciències de la Computació |
dc.date.accessioned | 2016-03-10T11:33:02Z |
dc.date.available | 2016-03-10T11:33:02Z |
dc.date.issued | 2014 |
dc.identifier.citation | Monclús, E., Vazquez, P., Navazo, I. Data-aware picking for medical models. A: "Computer vision, imaging and computer graphics : theory and applications : International Joint Conference, VISIGRAPP 2013 : Barcelona, Spain, February 21-24, 2013 : revised selected papers". Berlín: Springer, 2014, p. 50-65. |
dc.identifier.isbn | 978-3-662-44911-0 |
dc.identifier.uri | http://hdl.handle.net/2117/84130 |
dc.description.abstract | Medical doctors are often faced with the problem of selecting anchoring points in 3D space. These points are commonly used for measurement tasks, such as lengths of bones, or dimensions of pathological structures (e. g. tumors). Since previous research indicates that measurement tasks can be usually carried out more efficiently in VR environments than in desktop-based systems, we have concentrated on the development of selection tools for medical models. These models have a set of particularities such as the presence of semi-transparencies, and there is a lack of tools for measurement support for such models in VR environments. Our VR-based interaction technique uses the data to automatically generate candidate anchor points, and it is specially focused on the efficient selection of 3D points in datasets rendered using methods with semi-transparency such as Direct Volume Rendering. We will show that our method is effective, precise, and reduces the time and amount of movements required to set the anchor points as compared with other classical techniques based on clipping planes. We also provide a couple of improvements tailored to reduce the inherent imprecision of 3D devices due to hand vibration, and the flexibility in transfer function selection for anchor point definition. |
dc.format.extent | 16 p. |
dc.language.iso | eng |
dc.publisher | Springer |
dc.subject | Àrees temàtiques de la UPC::Informàtica::Aplicacions de la informàtica::Bioinformàtica |
dc.subject.lcsh | Computer vision in medicine |
dc.subject.other | 3D Interaction |
dc.subject.other | 3D Selection |
dc.subject.other | Medical Visualizatin |
dc.subject.other | Virtual Reality |
dc.title | Data-aware picking for medical models |
dc.type | Part of book or chapter of book |
dc.subject.lemac | Visió per ordinador en medicina |
dc.contributor.group | Universitat Politècnica de Catalunya. ViRVIG - Grup de Recerca en Visualització, Realitat Virtual i Interacció Gràfica |
dc.identifier.doi | 10.1007/978-3-662-44911-0 |
dc.description.peerreviewed | Peer Reviewed |
dc.relation.publisherversion | http://www.springer.com/978-3-662-44910-3 |
dc.rights.access | Open Access |
local.identifier.drac | 16672016 |
dc.description.version | Postprint (author's final draft) |
local.citation.author | Monclús, E.; Vazquez, P.; Navazo, I. |
local.citation.pubplace | Berlín |
local.citation.publicationName | Computer vision, imaging and computer graphics : theory and applications : International Joint Conference, VISIGRAPP 2013 : Barcelona, Spain, February 21-24, 2013 : revised selected papers |
local.citation.startingPage | 50 |
local.citation.endingPage | 65 |
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