Surgical Planning Laboratory - Brigham & Women's Hospital - Boston, Massachusetts USA - a teaching affiliate of Harvard Medical School

Surgical Planning Laboratory

The Publication Database hosted by SPL

All Publications | Upload | Advanced Search | Gallery View | Download Statistics | Help | Import | Log in

Mixed-Effects Shape Models for Estimating Longitudinal Changes in Anatomy

Institution:
1Scientific Computing and Imaging Institute, University of Utah, Salt Lake City, UT, USA.
2Department of Computer Science, University of Maryland, MD, USA.
3Carolina Institute for Developmental Disabilities, University of North Carolina, Chapel Hill, NC, USA.
Publisher:
STIA 2012
Publication Date:
Oct-2012
Journal:
Spatiotemporal Image Anal Longitud Time Ser Image Data.
Volume Number:
7570
Pages:
67-87
Citation:
Spatiotemporal Image Anal Longitud Time Ser Image Data. 2012 Oct; 7570:76-87.
PubMed ID:
25506622
PMCID:
PMC4262964
Appears in Collections:
NA-MIC
Sponsors:
P41 RR012553/RR/NCRR NIH HHS/United States
U54 EB005149/EB/NIBIB NIH HHS/United States
P50 MH064065/MH/NIMH NIH HHS/United States
R01 NS055754/NS/NINDS NIH HHS/United States
R01 HD055741/HD/NICHD NIH HHS/United States
Generated Citation:
Datar M., Muralidharan P., Kumar A., Gouttard S., Piven J., Gerig G., Whitaker R., Fletcher P.T. Mixed-Effects Shape Models for Estimating Longitudinal Changes in Anatomy. Spatiotemporal Image Anal Longitud Time Ser Image Data. 2012 Oct; 7570:76-87. PMID: 25506622. PMCID: PMC4262964.
Downloaded: 746 times. [view map]
Paper: Download, View online
Export citation:
Google Scholar: link

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 T2 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.

Additional Material
1 File (112.085kB)
Datar-SpatiotemporalImageAnalLongitudTimeSerImageData2012-fig6.jpg (112.085kB)