Interactive Visualization of Multi-Field Medical Data Using Linked Physical and Feature-Space Views

dc.contributor.authorBlaas, Joriken_US
dc.contributor.authorBotha, Charl P.en_US
dc.contributor.authorPost, Frits H.en_US
dc.contributor.editorK. Museth and T. Moeller and A. Ynnermanen_US
dc.date.accessioned2014-01-31T07:11:01Z
dc.date.available2014-01-31T07:11:01Z
dc.date.issued2007en_US
dc.description.abstractMulti-field datasets contain multiple parameters defined over the same spatio-temporal domain. In medicine, such multi-field data is being used more often every day, and there is an urgent need for exploratory visualization approaches that are able to deal effectively with the data-analysis. In this paper, we present a highly interactive, coordinated view-based visualization approach that has been developed especially for dealing with multi-field medical data. It can show any number of views of the physical domain and also of the abstract high-dimensional feature space. The approach has been optimized for interactive use with very large datasets. It is based on intuitive interaction techniques, and integrates analysis techniques from pattern classification to guide the exploration process. We will give some details about the implementation, and we demonstrate the utility of our approach with two real medical use cases.en_US
dc.description.seriesinformationEurographics/ IEEE-VGTC Symposium on Visualizationen_US
dc.identifier.isbn978-3-905673-45-6en_US
dc.identifier.issn1727-5296en_US
dc.identifier.urihttps://doi.org/10.2312/VisSym/EuroVis07/123-130en_US
dc.publisherThe Eurographics Associationen_US
dc.titleInteractive Visualization of Multi-Field Medical Data Using Linked Physical and Feature-Space Viewsen_US
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