New development of non-rigid registration

Guojun Gordon Liao, Hsi-Yue Hsiao, Chih-Yao Hsieh, Yongyi Gong, Xiaonan Luo, Xi Chen


We propose a new nonrigid registration algorithm which is based on the optimal control approach. In our previously proposed methods, the Jacobian determinant and the curl vector were used as control functions. In this algorithm, we use a new set of control functions. A main advantage of using the new controls is that the positivity and normalization of the Jacobian determinant are satisfied automatically. Numerical results on large deformation brain images are provided to show the accuracy and efficiency of the algorithm.



nonrigid registration, optimal control, brain images


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ANZIAM Journal, ISSN 1446-8735, copyright Australian Mathematical Society.