Mixed-effects shape models for estimating longitudinal changes in anatomy

Manasi Datar; Prasanna Muralidharan; Abhishek Kumar; Sylvain Gouttard; Joseph Piven; Guido Gerig; Ross Whitaker; P. Thomas Fletcher

doi:10.1007/978-3-642-33555-6_7

Mixed-effects shape models for estimating longitudinal changes in anatomy

Manasi Datar, Prasanna Muralidharan, Abhishek Kumar, Sylvain Gouttard, Joseph Piven, Guido Gerig, Ross Whitaker, P. Thomas Fletcher

Biomedical Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

In this paper, we propose a new method for longitudinal shape analysis that fits a linear mixed-effects model, while simultaneously optimizing correspondences on a set of anatomical shapes. Shape changes are modeled in a hierarchical fashion, with the global population trend as a fixed effect and individual trends as random effects. The statistical significance of the estimated trends are evaluated using specifically designed permutation tests. We also develop a permutation test based on the Hotelling T ² statistic to compare the average shapes trends between two populations. We demonstrate the benefits of our method on a synthetic example of longitudinal tori and data from a developmental neuroimaging study.

Original language	English (US)
Title of host publication	Spatio-temporal Image Analysis for Longitudinal and Time-Series Image Data - Second International Workshop, STIA 2012, Held in Conjunction with MICCAI 2012, Proceedings
Pages	76-87
Number of pages	12
DOIs	https://doi.org/10.1007/978-3-642-33555-6_7
State	Published - 2012
Event	2nd International Workshop on Spatiotemporal Image Analysis for Longitudinal and Time-Series Image Data, STIA 2012, Held in Conjunction with the International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2012 - Nice, France Duration: Oct 1 2012 → Oct 1 2012

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	7570 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Other

Other	2nd International Workshop on Spatiotemporal Image Analysis for Longitudinal and Time-Series Image Data, STIA 2012, Held in Conjunction with the International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2012
Country/Territory	France
City	Nice
Period	10/1/12 → 10/1/12

ASJC Scopus subject areas

Theoretical Computer Science
General Computer Science

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10.1007/978-3-642-33555-6_7

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Datar, M., Muralidharan, P., Kumar, A., Gouttard, S., Piven, J., Gerig, G., Whitaker, R., & Fletcher, P. T. (2012). Mixed-effects shape models for estimating longitudinal changes in anatomy. In Spatio-temporal Image Analysis for Longitudinal and Time-Series Image Data - Second International Workshop, STIA 2012, Held in Conjunction with MICCAI 2012, Proceedings (pp. 76-87). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7570 LNCS). https://doi.org/10.1007/978-3-642-33555-6_7

Mixed-effects shape models for estimating longitudinal changes in anatomy. / Datar, Manasi; Muralidharan, Prasanna; Kumar, Abhishek et al.
Spatio-temporal Image Analysis for Longitudinal and Time-Series Image Data - Second International Workshop, STIA 2012, Held in Conjunction with MICCAI 2012, Proceedings. 2012. p. 76-87 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7570 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Datar, M, Muralidharan, P, Kumar, A, Gouttard, S, Piven, J, Gerig, G, Whitaker, R & Fletcher, PT 2012, Mixed-effects shape models for estimating longitudinal changes in anatomy. in Spatio-temporal Image Analysis for Longitudinal and Time-Series Image Data - Second International Workshop, STIA 2012, Held in Conjunction with MICCAI 2012, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 7570 LNCS, pp. 76-87, 2nd International Workshop on Spatiotemporal Image Analysis for Longitudinal and Time-Series Image Data, STIA 2012, Held in Conjunction with the International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2012, Nice, France, 10/1/12. https://doi.org/10.1007/978-3-642-33555-6_7

Datar M, Muralidharan P, Kumar A, Gouttard S, Piven J, Gerig G et al. Mixed-effects shape models for estimating longitudinal changes in anatomy. In Spatio-temporal Image Analysis for Longitudinal and Time-Series Image Data - Second International Workshop, STIA 2012, Held in Conjunction with MICCAI 2012, Proceedings. 2012. p. 76-87. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-642-33555-6_7

Datar, Manasi ; Muralidharan, Prasanna ; Kumar, Abhishek et al. / Mixed-effects shape models for estimating longitudinal changes in anatomy. Spatio-temporal Image Analysis for Longitudinal and Time-Series Image Data - Second International Workshop, STIA 2012, Held in Conjunction with MICCAI 2012, Proceedings. 2012. pp. 76-87 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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Mixed-effects shape models for estimating longitudinal changes in anatomy

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