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Proceedings Paper

Shape analysis of corpus callosum in phenylketonuria using a new 3D correspondence algorithm
Author(s): Qing He; Shawn E. Christ; Kevin Karsch; Dawn Peck; Ye Duan
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Paper Abstract

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.

Paper Details

Date Published: 9 March 2010
PDF: 9 pages
Proc. SPIE 7626, Medical Imaging 2010: Biomedical Applications in Molecular, Structural, and Functional Imaging, 76260A (9 March 2010); doi: 10.1117/12.843237
Show Author Affiliations
Qing He, Univ. of Missouri-Columbia (United States)
Shawn E. Christ, Univ. of Missouri-Columbia (United States)
Kevin Karsch, Univ. of Missouri-Columbia (United States)
Dawn Peck, Univ. of Missouri-Columbia (United States)
Ye Duan, Univ. of Missouri-Columbia (United States)


Published in SPIE Proceedings Vol. 7626:
Medical Imaging 2010: Biomedical Applications in Molecular, Structural, and Functional Imaging
Robert C. Molthen; John B. Weaver, Editor(s)

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