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9 March 2010Shape analysis of corpus callosum in phenylketonuria using a new 3D correspondence algorithm
Statistical shape analysis of brain structures has gained increasing interest from neuroimaging community because it
can precisely locate shape differences between healthy and pathological structures. The most difficult and crucial
problem is establishing shape correspondence among individual 3D shapes. This paper proposes a new algorithm for
3D shape correspondence. A set of landmarks are sampled on a template shape, and initial correspondence is
established between the template and the target shape based on the similarity of locations and normal directions. The
landmarks on the target are then refined by iterative thin plate spline. The algorithm is simple and fast, and no
spherical mapping is needed. We apply our method to the statistical shape analysis of the corpus callosum (CC) in
phenylketonuria (PKU), and significant local shape differences between the patients and the controls are found in the
most anterior and posterior aspects of the corpus callosum.
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Qing He, Shawn E. Christ, Kevin Karsch, Dawn Peck, Ye Duan, "Shape analysis of corpus callosum in phenylketonuria using a new 3D correspondence algorithm," Proc. SPIE 7626, Medical Imaging 2010: Biomedical Applications in Molecular, Structural, and Functional Imaging, 76260A (9 March 2010); https://doi.org/10.1117/12.843237