EM-ICP strategies for joint mean shape and correspondences estimation: applications to statistical analysis of shape and of asymmetry - Archive ouverte HAL Access content directly
Conference Papers Year : 2011

EM-ICP strategies for joint mean shape and correspondences estimation: applications to statistical analysis of shape and of asymmetry

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Abstract

In this paper, we propose a new approach to compute the mean shape of unstructured, unlabelled point sets with an arbitrary number of points. This approach can be seen as an extension of the EM-ICP algorithm, where the fuzzy correspondences between each point set and the mean shape, the optimal non-linear transformations superposing them, and the mean shape itself, are iteratively estimated. Once the mean shape is computed, one can study the variability around this mean shape (e.g. using PCA) or perform statistical analysis of local anatomical characteristics (e.g. cortical thickness, asymmetry, curvature). To illustrate our method, we perform statistical shape analysis on human osseous labyrinths and statistical analysis of global cortical asymmetry on control subjects and subjects with situs inversus.
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Dates and versions

inserm-00589860 , version 1 (02-05-2011)

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Benoît Combès, Marc Fournier, David N. Kennedy, José Braga, Neil Roberts, et al.. EM-ICP strategies for joint mean shape and correspondences estimation: applications to statistical analysis of shape and of asymmetry. 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro (ISBI'2011), Mar 2011, Chicago, United States. pp.1257-1263, ⟨10.1109/ISBI.2011.5872630⟩. ⟨inserm-00589860⟩
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