Spatiotemporal Atlas Estimation for Developmental Delay Detection in Longitudinal Datasets

Stanley Durrleman 1, 2 Xavier Pennec 1, * Alain Trouvé 2, * Guido Gerig 3 Nicholas Ayache 1, *
* Auteur correspondant
1 ASCLEPIOS - Analysis and Simulation of Biomedical Images
CRISAM - Inria Sophia Antipolis - Méditerranée
2 CMLA - Centre de Mathématiques et de Leurs Applications
3 SCI Institute - Scientific Computing and Imaging Institute
Abstract : We propose a new methodology to analyze the anatomical variability of a set of longitudinal data (population scanned at several ages). This method accounts not only for the usual 3D anatomical variability (geometry of structures), but also for possible changes in the dynamics of evolution of the structures. It does not require that subjects are scanned the same number of times or at the same ages. First a regression model infers a continuous evolution of shapes from a set of observations of the same subject. Second, spatiotemporal registrations deform jointly (1) the geometry of the evolving structure via 3D deformations and (2) the dynamics of evolution via time change functions. Third, we infer from a population a prototype scenario of evolution and its 4D variability. Our method is used to analyze the morphological evolution of 2D profiles of hominids skulls and to analyze brain growth from amygdala of autistics, developmental delay and control children.
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Communication dans un congrès
Yang, Guang-Zhong and Hawkes, David and Rueckert, Daniel and Noble, Alison and Taylor, Chris. Medical Image Computing and Computer-Assisted Intervention (MICCAI'09), Part I, 2009, London, UK, United States. Springer, 5761, pp.297--304, 2009, Lecture Notes in Computer Science - LNCS; Medical Image Computing and Computer-Assisted Intervention - MICCAI 2009. <10.1007/978-3-642-04268-3_37>
https://hal.inria.fr/inria-00616113
Contributeur : Stanley Durrleman <>
Soumis le : mardi 6 août 2013 - 19:04:51
Dernière modification le : mercredi 7 octobre 2015 - 01:16:17

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Stanley Durrleman, Xavier Pennec, Alain Trouvé, Guido Gerig, Nicholas Ayache. Spatiotemporal Atlas Estimation for Developmental Delay Detection in Longitudinal Datasets. Yang, Guang-Zhong and Hawkes, David and Rueckert, Daniel and Noble, Alison and Taylor, Chris. Medical Image Computing and Computer-Assisted Intervention (MICCAI'09), Part I, 2009, London, UK, United States. Springer, 5761, pp.297--304, 2009, Lecture Notes in Computer Science - LNCS; Medical Image Computing and Computer-Assisted Intervention - MICCAI 2009. <10.1007/978-3-642-04268-3_37>. <inria-00616113>

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