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. 2009;12(Pt 2):167-74.
doi: 10.1007/978-3-642-04271-3_21.

Particle based shape regression of open surfaces with applications to developmental neuroimaging

Manasi Datar  1 , Joshua Cates, P Thomas Fletcher, Sylvain Gouttard, Guido Gerig, Ross Whitaker
Affiliations

Particle based shape regression of open surfaces with applications to developmental neuroimaging

Manasi Datar et al. Med Image Comput Comput Assist Interv. 2009.

Abstract

Shape regression promises to be an important tool to study the relationship between anatomy and underlying clinical or biological parameters, such as age. In this paper we propose a new method to building shape models that incorporates regression analysis in the process of optimizing correspondences on a set of open surfaces. The statistical significance of the dependence is evaluated using permutation tests designed to estimate the likelihood of achieving the observed statistics under numerous rearrangements of the shape parameters with respect to the explanatory variable. We demonstrate the method on synthetic data and provide a new results on clinical MRI data related to early development of the human head.

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Figures

Fig 1
Fig 1
Particle system with geometric primitives defining the boundary
Fig 2
Fig 2
Changes in head size with age
Fig 3
Fig 3
Overview of head shape regression: Changes in head shape with age
See this image and copyright information in PMC

References

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