Nonrigid Image Registration Using Physically Based Models
Yi Zhao · UWSpace (University of Waterloo) · 2006
I hereby declare that I am the sole author of this thesis. I authorize the University of Waterloo to lend this thesis to other institutions or individuals for the purpose of scholarly research. I further authorize the University of Waterloo to reproduce this thesis by pho-tocopying or by other means, in total or in part, at the request of other institutions or individuals for the purpose of scholarly research. ii It is well known that biological structures such as human brains, although may contain the same global structures, differ in shape, orientation, and fine structures across individuals and at different times. Such variabilities during registration are usually represented by nonrigid transformations. This research seeks to address this issue by developing physically based models in which transformations are con-structed to obey certain physical laws. In this thesis, a novel registration technique is presented based on the physical