Automatic Construction of 3D Statistical Deformation Models Using Non-rigid Registration

Abstract. In this paper we introduce the concept of statistical deformation models (SDM) which allow the construction of average models of the anatomy and their variability. SDMs are build by performing a statistical analysis of the deformations required to map anatomical features in one subject into the corresponding features in another subject. The concept of SDMs is similar to active shape models (ASM) which capture statistical information about shapes across a population but offers several new advantages: Firstly, SDMs can be constructed directly from images such as MR or CT without the need for segmentation which is usually a prerequisite for the construction of active shape models. Instead a non-rigid registration algorithm is used to compute the deformations required to establish correspondences between the reference subject and the subjects in the population class under investigation. Secondly, SDMs allow the construction of an atlas of the average anatomy as well as its variab...

• Type: Conference
• Year: 2001
• Where: MICCAI
• Authors: Daniel Rueckert, Alejandro F. Frangi, Julia A. Schnabel
• Keywords: Active Shape Models, Average Models, Medical Imaging, MICCAI 2001, Statistical Deformation Models