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    Combining Pseudo Chroma Depth Enhancement and Parameter Mapping for Vascular Surface Models

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    Date
    2017
    Author
    Behrendt, Benjamin
    Berg, Philipp
    Preim, Bernhard
    Saalfeld, Sylvia
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    Abstract
    The presence of depth cues in a visualization can be a great aid in understanding the structure and topology of a vessel tree. Pseudo Chromadepth is a well-known technique for enhancing depth perception in vascular 3D models. Since it strongly relies on the color channel to convey its depth cues, it is traditionally not suited for combined visualizations comprising color-encoded surface parameters. In this paper, we present and evaluate the use of a modified form of Pseudo Chromadepth that supports displaying additional surface parameters using the color channel while still increasing depth perception. This technique has been designed for the visualization of cerebral aneurysm models. We have combined a discretized color scale to visualize the surface parameter with the Pseudo Chromadepth color scale to convey depth using a Fresnel-inspired blending mask. To evaluate our approach, we have conducted two consecutive studies. The first was performed with 104 participants from the general public and the second with eleven experts in the fields of medical engineering and flow simulation. These studies show that Pseudo Chromadepth can be used in conjunction with color-encoded surface attributes to support depth perception as long as the color scale is chosen appropriately.
    BibTeX
    @inproceedings {vcbm.20171250,
    booktitle = {Eurographics Workshop on Visual Computing for Biology and Medicine},
    editor = {Stefan Bruckner and Anja Hennemuth and Bernhard Kainz and Ingrid Hotz and Dorit Merhof and Christian Rieder},
    title = {{Combining Pseudo Chroma Depth Enhancement and Parameter Mapping for Vascular Surface Models}},
    author = {Behrendt, Benjamin and Berg, Philipp and Preim, Bernhard and Saalfeld, Sylvia},
    year = {2017},
    publisher = {The Eurographics Association},
    ISSN = {2070-5786},
    ISBN = {978-3-03868-036-9},
    DOI = {10.2312/vcbm.20171250}
    }
    URI
    http://dx.doi.org/10.2312/vcbm.20171250
    https://diglib.eg.org:443/handle/10.2312/vcbm20171250
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    Eurographics Association copyright © 2013 - 2020 
    Send Feedback | Contact - Imprint | Data Privacy Policy | Disable Google Analytics
    Theme by @mire NV
    System hosted at  Graz University of Technology.
    TUGFhA