This paper describes the construction of a statistical shape model based on the iterative closest point algorithm. The method does not require manual nor automatic identification ...
Frans Vos, Paul W. de Bruin, J. G. M. Aubel, Geert...
Biomedical imaging of large patient populations, both cross-sectionally and longitudinally, is becoming a standard technique for noninvasive, in-vivo studies of the pathophysiolog...
Abstract. To develop statistical models for shapes, we utilize an elastic string representation where curves (denoting shapes) can bend and locally stretch (or compress) to optimal...
Anuj Srivastava, Aastha Jain, Shantanu H. Joshi, D...
We present a method for two-sample hypothesis testing for statistical shape analysis using nonlinear shape models. Our approach uses a true multivariate permutation test that is in...
Timothy B. Terriberry, Sarang C. Joshi, Guido Geri...
In this paper we address the problem of registering 3D scattered data by the mean of a statistical shape model. This model is built from a training set on which a principal compon...