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Publication Detail
Computation on shape manifold for atlas generation: Application to whole heart segmentation of cardiac MRI
  • Publication Type:
    Journal article
  • Publication Sub Type:
    Conference Proceeding
  • Authors:
    Zhuang X, Shi W, Wang H, Rueckert D, Ourselin S
  • Publication date:
    03/06/2013
  • Journal:
    Progress in Biomedical Optics and Imaging - Proceedings of SPIE
  • Volume:
    8669
  • Status:
    Published
  • Print ISSN:
    1605-7422
Abstract
In this work, we investigate the computation on a shape manifold for atlas generation and application to atlas propagation and segmentation. We formulate the computation of Fre´chet mean via the constant velocity fields and Log-Euclidean framework for Nadaraya-Watson kernel regression modeling. In this formulation, we directly compute the Fre´chet mean of shapes via fast vectorial operations on the velocity fields. By using image similarity metric to estimate the distance of shapes in the assumed manifold, we can estimate a close shape of an unseen image using Naderaya-Watson kernel regression function. We applied this estimation to generate subject-specific atlases for whole heart segmentation of MRI data. The segmentation results on clinical data demonstrated an improved performance compared to existing methods, thanks to the usage of subject-specific atlases which had more similar shapes to the unseen images. © 2013 SPIE.
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