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Analysis of Rotational Deformations From Directional Data

Authors :
Sungkyu Jung
Jörn Schulz
Stephen M. Pizer
James Stephen Marron
Stephan Huckemann
Michael R. Pierrynowski
Source :
Journal of Computational and Graphical Statistics. 24:539-560
Publication Year :
2015
Publisher :
Informa UK Limited, 2015.

Abstract

This article discusses a novel framework to analyze rotational deformations of real three-dimensional objects. The rotational deformations such as twisting or bending have been observed as the major variation in some medical applications, where the features of the deformed three-dimensional objects are directional data. We propose modeling and estimation of the global deformations in terms of generalized rotations of directions. The proposed method can be cast as a generalized small circle fitting on the unit sphere. We also discuss the estimation of descriptors for more complex deformations composed of two simple deformations. The proposed method can be used for a number of different three-dimensional object models. Two analyses of three-dimensional object data are presented in detail: one using skeletal representations in medical image analysis and the other from biomechanical gait analysis of the knee joint. Supplementary materials for this article are available online.

Details

ISSN :
15372715 and 10618600
Volume :
24
Database :
OpenAIRE
Journal :
Journal of Computational and Graphical Statistics
Accession number :
edsair.doi.dedup.....ebdb3c587296877e03ddf1aa81edff26