Abstract Recently, there is a big need for the fused visualization in medical simulation field (e.g., the large-scale blood flow dataset). That is because it is desirable and advantageous to fuse the different objects (e.g. the fusion of red blood cells and platelets) and analyze the relationship between them. Nevertheless, such a simulation date always results in a large-scale time-varying volume data, which make the fused visualization even more difficult. To solve this problem, a sorting-free rendering technique, Particle-based Rendering (PBR), is used to visualize the large-scale time-varying volume data. Because this method visualizes the volume data by generating opaque particles from the original volume data and projects these particles to the image plane, the visibility sorting is not needed. This makes the fusion of different objects and handling of large-scale volume data is very easy. Moreover, a time-varying visualization framework is developed to visualize the time-varying data in real time and analyze the dynamics of the time-varying data in detail. The designed system is applied to the large-scale blood flow dataset, and the experimental results show its efficiency.


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    Titel :

    Fused Visualization for Large-Scale Blood Flow Dataset


    Beteiligte:
    Zhao, Kun (Autor:in) / Sakamoto, Naohisa (Autor:in) / Koyamada, Koji (Autor:in)


    Erscheinungsdatum :

    01.01.2014


    Format / Umfang :

    10 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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