Population-based fitting of medial shape models with correspondence optimization

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Publication Type pre-print
School or College <blank>
Department <blank>
Creator Gerig, Guido
Other Author Terriberry, Timothy B.; Damon, James N.; Pizer, Stephen M.; Joshi, Sarang C.
Title Population-based fitting of medial shape models with correspondence optimization
Date 2007-01-01
Description A crucial problem in statistical shape analysis is establishing the correspondence of shape features across a population. While many solutions are easy to express using boundary representations, this has been a considerable challenge for medial representations. This paper uses a new 3-D medial model that allows continuous interpolation of the medial manifold and provides a map back and forth between it and the boundary. A measure defined on the medial surface then allows one to write integrals over the boundary and the object interior in medial coordinates, enabling the expression of important object properties in an object-relative coordinate system.We use these integrals to optimize correspondence during model construction, reducing variability due to the model parameterization that could potentially mask true shape change effects. Discrimination and hypothesis testing of populations of shapes are expected to benefit, potentially resulting in improved significance of shape differences between populations even with a smaller sample size.
Type Text
Publisher Springer
Volume 4584
First Page 700
Last Page 712
Language eng
Bibliographic Citation Terriberry, T. B., Damon, J. N., Pizer, S. M., Joshi, S. C., & Gerig, G. (2007). Population-based fitting of medial shape models with correspondence optimization. Proceedings of Information Processing in Medical Imaging (IPMI 07), Lecture Notes in Computer Science, 4584, 700-12.
Rights Management (c) Springer (The original publication is available at www.springerlink.com) The final publication is available at Springer via http://dx.doi.org/10.1007/978-3-540-73273-0_58.
Format Medium application/pdf
Format Extent 920,142 bytes
Identifier uspace,19266
ARK ark:/87278/s6zp7g7p
Setname ir_uspace
Date Created 2015-03-20
Date Modified 2021-05-06
ID 712874
Reference URL https://collections.lib.utah.edu/ark:/87278/s6zp7g7p
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