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    • 2008 Summer Undergraduate Research and Creative Achievements Forum (MU)
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    • Undergraduate Research and Creative Achievements Forum (MU)
    • 2008 Summer Undergraduate Research and Creative Achievements Forum (MU)
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    A hybrid MRI-based hippocampus segmentation algorithm

    Karsch, Kevin
    He, Qing
    Duan, Ye
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    [PDF] HybridMRIBasedHippocampus.pdf (15.56Kb)
    [PDF] HybridMRIBasedHippocampus.pdf (15.56Kb)
    Date
    2008
    Contributor
    University of Missouri-Columbia. Office of Undergraduate Research
    Format
    Presentation
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    Abstract
    We propose a new hippocampus segmentation method from MRI by integrating region-growing methods such as K-means clustering with PDE-based level set methods. Starting from a single point provided by the user, our algorithm will first automatically generate an initial seed contour that closely resembles the hippocampus. The seed will then deform based on dynamic level-set equations, and will stop to obtain the final 3D shape when the equilibrium of the PDE is reached. In comparison with other hippocampus algorithms, our method is very efficient; most segmentations can be completed in under one minute using inexpensive hardware. Based on our experiments, our new algorithm is relatively robust to image noise and can work well with low contrast images.
    URI
    http://hdl.handle.net/10355/1908
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    2008 Summer Undergraduate Research and Creative Achievements Forum (MU)
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