Statistical Atlases of Bone Anatomy: Construction, Iterative Improvement and Validation

We present an iterative bootstrapping framework to create and analyze statistical atlases of bony anatomy such as the human pelvis from a large collection of CT data sets. We create an initial tetrahedral mesh representation of the target anatomy and use deformable intensitybased registration to create an initial atlas. This atlas is used as prior information to assist in deformable registration/segmentation of our subject image data sets, and the process is iterated several times to remove any bias from the initial choice of template subject and to improve the stability and consistency of mean shape and variational modes. We also present a framework to validate the statistical models. Using this method, we have created a statistical atlas of full pelvis anatomy with 110 healthy patient CT scans. Our analysis shows that any given pelvis

• Type: Conference
• Year: 2007
• Where: MICCAI
• Authors: Gouthami Chintalapani, Lotta Maria Ellingsen, Ofri Sadowsky, Jerry L. Prince, Russell H. Taylor
• Keywords: Initial Atlas, Initial Tetrahedral Mesh, Iterative Bootstrapping Framework, Medical Imaging, MICCAI 2007