Cookies on this website

We use cookies to ensure that we give you the best experience on our website. If you click 'Accept all cookies' we'll assume that you are happy to receive all cookies and you won't see this message again. If you click 'Reject all non-essential cookies' only necessary cookies providing core functionality such as security, network management, and accessibility will be enabled. Click 'Find out more' for information on how to change your cookie settings.

Although segmentation and registration are usually considered separately in medical image analysis, they can obviously benefit a great deal from each other. In this paper, we propose a novel scheme of simultaneously solving for segmentation and registration. This is achieved by a maximum a posteriori (MAP) model. The key idea is to introduce an additional hidden Markov random vector field into the model. Both rigid and non-rigid registration have been incorporated. We have used a B-spline based free-form deformation for non-rigid registration case. The method has been applied to the segmentation and registration of brain MR images. © Springer-Verlag Berlin Heidelberg 2004.


Conference paper

Publication Date





663 - 670