A Bayesian framework for joint morphometry of surface and curve meshes in multi-object complexes
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- 作者：Pietro Gori ; a ; b ; c ; d ; e ; pietro.gori@inria.fr" class="auth_mail" title="E-mail the corresponding author ; Olivier Colliota ; b ; c ; d ; e ; f ; Linda Marrakchi-Kacema ; b ; c ; d ; e ; Yulia Worbea ; b ; c ; d ; e ; f ; Cyril Poupong ; Andreas Hartmanna ; b ; c ; d ; e ; f ; Nicholas Ayacheh ; Stanley Durrlemana ; b ; c ; d ; e
- 关键词：Shape ; Bayesian ; Varifolds ; Fiber bundle ; Morphometry ; Complex ; Multi-object ; Atlas
- 刊名：Medical Image Analysis
- 出版年：2017
- 出版时间：January 2017
- 年：2017
- 卷：35
- 期：Complete
- 页码：458-474
- 全文大小：5199 K
文摘
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Bayesian framework to embed atlas constructions of multi-object shape complexes.
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Trade-off parameters between data-terms and regularity are automatically estimated.
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Well-conditioned covariance matrix of the deformation parameters.
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Shape complexes composed of curves and surfaces modeled as Gaussian random varifolds.
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Extension to a multi-population atlas construction.