Enabling Haptic Interaction with Volumetric MRI Data Through Knowledge-based Tissue Separation

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dc.contributor.authorLundin, Karljohanen_US
dc.contributor.authorLundström, Claesen_US
dc.contributor.authorCooper, Matthewen_US
dc.contributor.authorYnnerman, Andersen_US
dc.contributor.editorRaghu Machiraju and Torsten Moelleren_US
dc.date.accessioned2014-01-29T17:50:00Z
dc.date.available2014-01-29T17:50:00Z
dc.date.issued2006en_US
dc.description.abstractDirect volume haptics can provide both guidance and extra information during exploration of volumetric data. In this paper we present a novel approach to volume haptics enabling haptic exploration of tissue shape, borders and material properties in data despite low contrast and low signal to noise ratio, as is common in medical MRI data or low dose CT data. The method uses filtering based on implicit knowledge and addresses the problem of overlapping scalar ranges through the introduction of fuzzy classification and corresponding transfer functions for material properties as well as classification-based distance masking for haptic force direction.en_US
dc.description.seriesinformationVolume Graphicsen_US
dc.identifier.isbn3-905673-41-Xen_US
dc.identifier.issn1727-8376en_US
dc.identifier.urihttps://doi.org/10.2312/VG/VG06/075-078en_US
dc.publisherThe Eurographics Associationen_US
dc.titleEnabling Haptic Interaction with Volumetric MRI Data Through Knowledge-based Tissue Separationen_US
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VG06: Eurographics/IEEE VGTC Workshop on Volume Graphics 2006