A framework for longitudinal data analysis via shape regression

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Publication Type pre-print
School or College <blank>
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Creator Gerig, Guido
Other Author Fishbaugh, James; Durrleman, Stanley; Piven, Joseph
Title A framework for longitudinal data analysis via shape regression
Date 2012-01-01
Description Traditional longitudinal analysis begins by extracting desired clinical measurements, such as volume or head circumference, from discrete imaging data. Typically, the continuous evolution of a scalar measurement is estimated by choosing a 1D regression model, such as kernel regression or fitting a polynomial of fixed degree. This type of analysis not only leads to separate models for each measurement, but there is no clear anatomical or biological interpretation to aid in the selection of the appropriate paradigm. In this paper, we propose a consistent framework for the analysis of longitudinal data by estimating the continuous evolution of shape over time as twice differentiable flows of deformations. In contrast to 1D regression models, one model is chosen to realistically capture the growth of anatomical structures. From the continuous evolution of shape, we can simply extract any clinical measurements of interest. We demonstrate on real anatomical surfaces that volume extracted from a continuous shape evolution is consistent with a 1D regression performed on the discrete measurements. We further show how the visualization of shape progression can aid in the search for significant measurements. Finally, we present an example on a shape complex of the brain (left hemisphere, right hemisphere, cerebellum) that demonstrates a potential clinical application for our framework.
Type Text
Publisher International Society for Optical Engineering (SPIE)
Volume 8314
Issue 1
First Page 83143K-1
Last Page 83143K-7
Language eng
Bibliographic Citation Fishbaugh, J., Durrleman, S., Piven, J., & Gerig, G. (2012). A framework for longitudinal data analysis via shape regression. Proceedings of Medical Imaging 2012: Image Processing, 8314(1), 83143K-1-83143K-7.
Rights Management (c)Society of Photo-Optical Instrumentation Engineers. One print or electronic copy may be made for personal use only. Systematic electronic or print reproduction and distribution, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper are prohibited. http://dx.doi.org/[INSERT DOI]
Format Medium application/pdf
Format Extent 2,818,144 bytes
Identifier uspace,19155
ARK ark:/87278/s6x95mgm
Setname ir_uspace
Date Created 2015-01-12
Date Modified 2021-05-06
ID 712766
Reference URL https://collections.lib.utah.edu/ark:/87278/s6x95mgm
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