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Group-wise shape correspondence of variable and complex objects
Author(s): Ilwoo Lyu; Jonathan Perdomo; Gabriel S. Yapuncich; Beatriz Paniagua; Doug M. Boyer; Martin A. Styner
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Paper Abstract

We present a group-wise shape correspondence method for analyzing variable and complex objects in a population study. The proposed method begins with the standard spherical harmonics (SPHARM) point distribution models (PDM) with their spherical mappings. In case of complex and variable objects, the equal area spherical mapping based SPHARM correspondence is imperfect. For such objects, we present here a novel group-wise correspondence. As an example dataset, we use 12 second mandibular molars representing 6 living or fossil euarchontan species. To improve initial correspondence of the SPHARM-PDM representation, we first apply a rigid transformation on each subject using five well-known landmarks (molar cusps). We further enhance the correspondence by optimizing landmarks (local) and multidimensional geometric property (global) over each subject with spherical harmonic representation. The resulting average shape model better captures sharp landmark representation in quantitative evaluation as well as a nice separation of different species compared with that of the SPHARM-PDM method.

Paper Details

Date Published: 2 March 2018
PDF: 7 pages
Proc. SPIE 10574, Medical Imaging 2018: Image Processing, 105742T (2 March 2018); doi: 10.1117/12.2293273
Show Author Affiliations
Ilwoo Lyu, Vanderbilt Univ. (United States)
Jonathan Perdomo, The Univ. of North Carolina at Chapel Hill (United States)
Gabriel S. Yapuncich, Duke Univ. (United States)
Beatriz Paniagua, Kitware, Inc. (United States)
Doug M. Boyer, Duke Univ. (United States)
Martin A. Styner, The Univ. of North Carolina at Chapel Hill (United States)


Published in SPIE Proceedings Vol. 10574:
Medical Imaging 2018: Image Processing
Elsa D. Angelini; Bennett A. Landman, Editor(s)

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