Computation on shape manifold for atlas generation: Application to whole heart segmentation of cardiac MRI
Zhuang X, Shi W, Wang H, Rueckert D, Ourselin S (2013)
Publication Type: Conference contribution
Publication year: 2013
Journal
Book Volume: 8669
Conference Proceedings Title: Progress in Biomedical Optics and Imaging - Proceedings of SPIE
Event location: USA
ISBN: 9780819494436
DOI: 10.1117/12.2007181
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.
Involved external institutions
China (CN)How to cite
APA:
Zhuang, X., Shi, W., Wang, H., Rueckert, D., & Ourselin, S. (2013). Computation on shape manifold for atlas generation: Application to whole heart segmentation of cardiac MRI. In Progress in Biomedical Optics and Imaging - Proceedings of SPIE. USA.
MLA:
Zhuang, Xiahai, et al. "Computation on shape manifold for atlas generation: Application to whole heart segmentation of cardiac MRI." Proceedings of the Medical Imaging 2013: Image Processing, USA 2013.
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