A Fast hierarchical traversal strategy for multimodal visualization

In the last years there is a growing demand of multimodal medical rendering systems able to visualize simultaneously data coming from different sources. This paper addresses the Direct Volume Rendering (DVR) of aligned multimodal data in medical applications. Specifically, it proposes a hierarchical...

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Detalles Bibliográficos
Autores: Ferré Bergadà, Maria, Puig Puig, Anna, Tost Pardell, Daniela|||0000-0001-9619-605X
Tipo de recurso: informe técnico
Fecha de publicación:2003
País:España
Institución:Universitat Politècnica de Catalunya (UPC)
Repositorio:UPCommons. Portal del coneixement obert de la UPC
Idioma:inglés
OAI Identifier:oai:upcommons.upc.edu:2117/97339
Acceso en línea:https://hdl.handle.net/2117/97339
Access Level:acceso abierto
Palabra clave:Multimodal medical rendering systems
Direct volume rendering
DVR
Fusion decision tree
FDT
Multimodal visualization
Multimodal rendering
Run-length encoding
Àrees temàtiques de la UPC::Informàtica::Informàtica teòrica
Descripción
Sumario:In the last years there is a growing demand of multimodal medical rendering systems able to visualize simultaneously data coming from different sources. This paper addresses the Direct Volume Rendering (DVR) of aligned multimodal data in medical applications. Specifically, it proposes a hierarchical representation of the multimodal data set based on the construction of a Fusion Decision Tree (FDT) that, together with a run-length encoding of the non-empty data, provides means of efficiently accessing to the data. Three different implementations of these structures are proposed. The simulations results show that the traversal of the data is fast and that the method is suitable when interactive modifications of the fusion parameters are required.