A Geodesic Mixed Effects Model in Kendall's Shape Space
- In many applications, geodesic hierarchical models are adequate for the study of temporal observations. We employ such a model derived for manifold-valued data to Kendall's shape space. In particular, instead of the Sasaki metric, we adapt a functional-based metric, which increases the computational efficiency and does not require the implementation of the curvature tensor. We propose the corresponding variational time discretization of geodesics and apply the approach for the estimation of group trends and statistical testing of 3D shapes derived from an open access longitudinal imaging study on osteoarthritis.
| Author: | Esfandiar Nava-YazdaniORCiD, Hans-Christian HegeORCiDGND, Christoph von TycowiczORCiD |
|---|---|
| Document Type: | In Proceedings |
| Parent Title (English): | Proc. 7th MICCAI workshop on Mathematical Foundations of Computational Anatomy (MFCA) |
| Volume: | 11846 |
| First Page: | 209 |
| Last Page: | 218 |
| Series: | Lecture Notes in Computer Science |
| Year of first publication: | 2019 |
| Preprint: | urn:nbn:de:0297-zib-74621 |
| DOI: | https://doi.org/10.1007/978-3-030-33226-6_22 |
