Deformation Estimation with Automatic Sliding Boundary Computation
We present a novel method for image registration via a piecewise diffeomorphic deformation which accommodates sliding motion, such as that encountered at organ boundaries. Our method jointly computes the deformation as well as a coherent sliding boundary, represented by a segmentation of the domain into regions of smooth motion. Discontinuities are allowed only at the boundaries of these regions, while invertibility of the total deformation is enforced by disallowing separation or overlap between regions. Optimization alternates between discrete segmentation estimation and continuous deformation estimation. We demonstrate our method on chest 4DCT data showing sliding motion of the lungs against the thoracic cage during breathing.
KeywordsImage registration Sliding motion Motion segmentation
This work was supported in part by NIH R01 CA169102-01A13 and a grant from GE Medical Systems.
- 2.Heldmann, S., Polzin, T., Derksen, A., Berkels, B.: An image registration framework for sliding motion with piecewise smooth deformations. In: Aujol, J.-F., Nikolova, M., Papadakis, N. (eds.) SSVM 2015. LNCS, vol. 9087, pp. 335–347. Springer, Heidelberg (2015). doi: 10.1007/978-3-319-18461-6_27 Google Scholar
- 4.Konig, L., Ruhaak, J.: A fast and accurate parallel algorithm for non-linear image registration using normalized gradient fields. In: 2014 IEEE 11th International Symposium on Biomedical Imaging (ISBI), pp. 580–583. IEEE (2014)Google Scholar
- 8.Sun, D., Sudderth, E.B., Black, M.J.: Layered segmentation and optical flow estimation over time. In: IEEE CVPR, pp. 1768–1775. IEEE (2012)Google Scholar
- 10.Vishnevskiy, V., Gass, T., Székely, G., Goksel, O.: Total variation regularization of displacements in parametric image registration. In: Yoshida, H., Näppi, J.J., Saini, S. (eds.) Abdominal Imaging: Computational and Clinical Applications. LNCS, vol. 8676, pp. 211–220. Springer, Heidelberg (2014)Google Scholar