We study the influence of the choice of template in tensorbased morphometry. Using 3D brain MR images from 10 monozygotic twin pairs, we defined a tensor-based distance in the log...
Natasha Lepore, Caroline A. Brun, Yi-Yu Chou, Agat...
— We show that the Fisher-Rao Riemannian metric is a natural, intrinsic tool for computing shape geodesics. When a parameterized probability density function is used to represent...
Principal component analysis has proven to be useful for understanding geometric variability in populations of parameterized objects. The statistical framework is well understood ...
Abstract. In this work, we find meaningful parameterizations of cortical surfaces utilizing prior anatomical information in the form of anatomical landmarks (sulci curves) on the s...
Lok Ming Lui, Sheshadri Thiruvenkadam, Yalin Wan...
We develop a new framework for the quantitative analysis of shapes of planar curves. Shapes are modeled on elastic strings that can be bent, stretched or compressed at different r...