Abstract
A new approach for the automatic estimation of dense 3D deformation fields is proposed. In the first step, template propagation (an advanced block matching strategy) produces not only a large set of point correspondences, but also a quantitative measure of the “registration quality” for each point pair. Subsequently, the deformation field is obtained by a method based on Wendland radial base functions. This method has been adapted to incorporate “registration quality” into regularization, where Morozov’s discrepancy principle has been applied to give intuitive meaning to the regularization parameter. The main advantage of the presented algorithm is the ability to perform an elastic registration in the presence of large deformations with minimum user interaction. Applying the method, complicated respiratory motion patterns in 3D MR images of the thorax have been successfully determined. The complete procedure takes less than one hour on a standard PC for MR image pairs (256×256×75 voxels) showing a 40 mm displacement of the diaphragm.
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D. Mattes, D. Haynor, H. Vesselle, K. Lewellen, W. Eubank: Nonrigid multimodal-ity image registration. Proc. of SPIE 4322 (2001) 1609–1620
D. Manke, K. Nehrke, P. Rösch, P. Börnert, O. Dössel: Study of Respiratory Motion in Coronary MRA. Proceedings of ISMRM’01 Elsevier (2001) 1852
Rabbitt, R. D., Weiss, J. A., Christensen, G. E., Miller, M. I.: Mapping of hyper-elastic deformable templates using the finite element method, Proc. of SPIE 2573 (1995) 252–265
Rueckert, D. Sonoda, L.I., Hayes, C., Hill, D. L. G., Leach, M. O., Hawkes, D. J.: Nonrigid registration using free-form deformations: Application to Breast MR images, IEEE Trans Medical Imaging 18 (1999) 712–721
G. K. Rohde, A. A. Aldroubi, B. M. Dawant: Adaptive free-form deformation for inter-patient medical image registration. Proc. of SPIE 4322 (2001) 1578–1587
P. Rösch, T. Netsch, M. Quist, G. P. Penney, D. L. G. Hill, and J. Weese: Robust 3D deformation field estimation by template propagation. MICCAI 2000, Lecture Notes in Computer Science 1935 (2000) 521–530
Little, J. A., Hill, D. L. G., Hawkes, D. J.: Deformations incorporating rigid structures. Computer Vision and Image Understanding 66 (1997) 223–232
P. Rösch, T. Mohs, T. Netsch, M. Quist, G. P. Penney, D. J. Hawkes, J. Weese: Template selection and rejection for robust non-rigid 3D registration in the presence of large deformations. SPIE proceedings 4322 (2001) 545–556.
M. Fornefett, K. Rohr, and S. Stiehl: Radial base functions with compact support for elastic registration of medical images. Image and Vision Comp. 19 (2001) 87–96
Kostelec, P. J., Weaver, J. B., Healy, D. M. Jr.: Multiresolution elastic image registration, Med. Phys. 25 (1998) 1593–1604
P. Rösch, T. Blaffert, J. Weese: Multi-modality registration using local correlation, in: H. U. Lemke, M. W. Vannier, K. Inamura, A. G. Farman (Eds) CARS’99 Proceedings, Elsevier (1999) 228–232
H. Wendland: Piecewise polynomial, positive definite and compactly supported radial functions of minimal degree. Advances in Computational Mathematics 4 (1995) 389–396
Bookstein, F. L.: Principal warps: Thin-plate splines and the decomposition of deformations, IEEE Trans. Patt. Anal. Mach. Intell 11 (1989) 567–585
V. A. Morozov: Methods for solving incorrectly posed problems, Springer (1984)
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Rösch, P., Netsch, T., Quist, M., Weese, J. (2002). 3D Respiratory Motion Compensation by Template Propagation. In: Dohi, T., Kikinis, R. (eds) Medical Image Computing and Computer-Assisted Intervention — MICCAI 2002. MICCAI 2002. Lecture Notes in Computer Science, vol 2489. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45787-9_80
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