Analysis of longitudinal shape variability via subject specific growth modeling

James Fishbaugh; Marcel Prastawa; Stanley Durrleman; Joseph Piven; Guido Gerig; Network IBIS Network

doi:10.1007/978-3-642-33415-3_90

Analysis of longitudinal shape variability via subject specific growth modeling

James Fishbaugh, Marcel Prastawa, Stanley Durrleman, Joseph Piven, Guido Gerig, Network IBIS Network

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

Abstract

Statistical analysis of longitudinal imaging data is crucial for understanding normal anatomical development as well as disease progression. This fundamental task is challenging due to the difficulty in modeling longitudinal changes, such as growth, and comparing changes across different populations. We propose a new approach for analyzing shape variability over time, and for quantifying spatiotemporal population differences. Our approach estimates 4D anatomical growth models for a reference population (an average model) and for individuals in different groups. We define a reference 4D space for our analysis as the average population model and measure shape variability through diffeomorphisms that map the reference to the individuals. Conducting our analysis on this 4D space enables straightforward statistical analysis of deformations as they are parameterized by momenta vectors that are located at homologous locations in space and time. We evaluate our method on a synthetic shape database and clinical data from a study that seeks to quantify brain growth differences in infants at risk for autism.

Original language	English (US)
Title of host publication	Medical Image Computing and Computer-Assisted Intervention, MICCAI2012 - 15th International Conference, Proceedings
Editors	Nicholas Ayache, Herve Delingette, Polina Golland, Kensaku Mori
Publisher	Springer Verlag
Pages	731-738
Number of pages	8
ISBN (Print)	9783642334146
DOIs	https://doi.org/10.1007/978-3-642-33415-3_90
State	Published - 2012
Event	15th International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2012 - Nice, France Duration: Oct 1 2012 → Oct 5 2012

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	7510 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	15th International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2012
Country/Territory	France
City	Nice
Period	10/1/12 → 10/5/12

ASJC Scopus subject areas

Theoretical Computer Science
General Computer Science

Access to Document

10.1007/978-3-642-33415-3_90

Cite this

Fishbaugh, J., Prastawa, M., Durrleman, S., Piven, J., Gerig, G., & IBIS Network, N. (2012). Analysis of longitudinal shape variability via subject specific growth modeling. In N. Ayache, H. Delingette, P. Golland, & K. Mori (Eds.), Medical Image Computing and Computer-Assisted Intervention, MICCAI2012 - 15th International Conference, Proceedings (pp. 731-738). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7510 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-642-33415-3_90

Analysis of longitudinal shape variability via subject specific growth modeling. / Fishbaugh, James; Prastawa, Marcel; Durrleman, Stanley et al.
Medical Image Computing and Computer-Assisted Intervention, MICCAI2012 - 15th International Conference, Proceedings. ed. / Nicholas Ayache; Herve Delingette; Polina Golland; Kensaku Mori. Springer Verlag, 2012. p. 731-738 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7510 LNCS).

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

Fishbaugh, J, Prastawa, M, Durrleman, S, Piven, J, Gerig, G & IBIS Network, N 2012, Analysis of longitudinal shape variability via subject specific growth modeling. in N Ayache, H Delingette, P Golland & K Mori (eds), Medical Image Computing and Computer-Assisted Intervention, MICCAI2012 - 15th International Conference, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 7510 LNCS, Springer Verlag, pp. 731-738, 15th International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2012, Nice, France, 10/1/12. https://doi.org/10.1007/978-3-642-33415-3_90

Fishbaugh J, Prastawa M, Durrleman S, Piven J, Gerig G, IBIS Network N. Analysis of longitudinal shape variability via subject specific growth modeling. In Ayache N, Delingette H, Golland P, Mori K, editors, Medical Image Computing and Computer-Assisted Intervention, MICCAI2012 - 15th International Conference, Proceedings. Springer Verlag. 2012. p. 731-738. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-642-33415-3_90

Fishbaugh, James ; Prastawa, Marcel ; Durrleman, Stanley et al. / Analysis of longitudinal shape variability via subject specific growth modeling. Medical Image Computing and Computer-Assisted Intervention, MICCAI2012 - 15th International Conference, Proceedings. editor / Nicholas Ayache ; Herve Delingette ; Polina Golland ; Kensaku Mori. Springer Verlag, 2012. pp. 731-738 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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Analysis of longitudinal shape variability via subject specific growth modeling

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