Abstract. Non-rigid registration has traditionally used physical models like elasticity and uids. These models are very seldom valid models of the dierence between the registered images. This paper presents a non-rigid registration algorithm, which uses a model of bone growth as a model of the change between time sequence images of the human mandible. By being able to register the images, this paper at the same time contributes to the validation of the growth model, which is based on the currently available medical theories and knowledge. This paper studies the process of bone growth in the human mandible. Based on the available medical knowledge, a bone growth model is established, and experiments are carried out to determine the validity of the model. These experiments uses a unique data set containing three voxel images of the mandible of a child, taken at dierent times. Being able to model the growth of the facial bones is both interesting for understanding the development of the cranio-facial complex, and for understanding the eects of cranio-facial surgery on children. After children with growth defects have undergone surgery to restore normal function and appearance, the bones continue to grow. This growth often introduces new deformations and new surgery has to be performed. It is, therefore, important to understand the growth of the bones. It would be useful for the surgeon to be able, not only to predict the instantaneous result of the surgery, but also to predict the evolution of the face after surgery. Using such knowledge, the surgeon could possibly anticipate this development and correct for it in advance. The process of modeling the growth can be seen as a registration problem, and the discussion follows the notation and semantics of the general registration methodology.
An approach to model the mandible bone growth along the surface of the mandible is presented by REF .
Non-rigid image registration using bone growth model
CVRMed
Computer Science