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Science: Exploiting HPC
    Tuesday July 17, 2012 10:30am - 11:00am @ King Arthur 3rd Floor

    Science: Exploiting HPC Resources for the 3D-Time Series Analysis of Caries Lesion Activity.

    Abstract: We present a research framework to analyze 3D-time series caries lesion activity based on collections of SkyScanμ-CT images taken at different times during the dynamiccaries process. Analyzing caries progression (or reversal)is data-driven and computationally demanding. It involvessegmenting high-resolution μ-CT images, constructing 3Dmodels suitable for interactive visualization, and analyzing3D and 4D (3D + time) dental images. Our development exploitsXSEDE’s supercomputing, storage, and visualizationresources to facilitate the knowledge discovery process. Inthis paper, we describe the required image processing algorithmsand then discuss the parallelization of these methodsto utilize XSEDE’s high performance computing resources.We then present a workflow for visualization and analysis usingParaView. This workflow enables quantitative analysisas well as three-dimensional comparison of multiple temporaldatasets from the longitudinal dental research studies.Such quantitative assessment and visualization can help usto understand and evaluate the underlying processes thatarise from dental treatment, and therefore can have significantimpact in the clinical decision-making process andcaries diagnosis.


    Type Science Track
    Session Titles Biological Applications

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