Abstract
Image registration is a central field in biomedical image analysis. Despite the large body of work on automatic image registration algorithms, in practice, results are often imperfect and can benefit from manual editing. In the current study, we propose a novel interactive registration tool that can be used for editing and refinement of automatic image registration results. The method is based on displacements to control points applied by the user to a finite element mesh representation of an organ of interest. The user-applied-displacements are translated to local forces using the organ’s elastic properties. The local user-derived forces are applied on the mesh and deform the image accordingly. We test the current method on 2D x-ray hand simulated data with non-continuous motion field and on 3D cardiac CT image data.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Amit, Y.: A nonlinear variational problem for image matching. SIAM J. Sci. Comput. 15(1), 207–224 (1994)
Barrett, W.A., Cheney, A.S.: Object-based image editing. In: ACM Transactions on Graphics (TOG), vol. 21, pp. 777–784. ACM (2002)
Beier, T., Neely, S.: Feature-based image metamorphosis. In: ACM SIGGRAPH Computer Graphics, vol. 26, pp. 35–42. ACM (1992)
Bookstein, F.L.: Principal warps: thin-plate splines and the decomposition of deformations. IEEE Trans. Pattern Anal. Mach. Intell. 11(6), 567–585 (1989)
De Berg, M., Cheong, O., Van Kreveld, M.: Computational Geometry: Algorithms and Applications. Springer, Heidelberg (2008)
Eldar, Y., Lindenbaum, M., Porat, M., Zeevi, Y.Y.: The farthest point strategy for progressive image sampling. IEEE Trans. Image Process. 6(9), 1305–1315 (1997)
Hajnal, J.V., Hill, D.L.G.: Medical Image Registration. CRC Press, Boca Raton (2010)
Heimann, T., Meinzer, H.-P.: Statistical shape models for 3D medical image segmentation: a review. Med. Image Anal. 13(4), 543–563 (2009)
Heimann, T., van Ginneken, B., Styner, M.A., Arzhaeva, Y., Aurich, V., Bauer, C., Beck, A., Becker, C., Beichel, R., Bekes, G., et al.: Comparison and evaluation of methods for liver segmentation from CT datasets. IEEE Trans. Med. Imaging 28(8), 1251–1265 (2009)
Kagan, P., Fischer, A., Bar-Yoseph, P.Z.: New B-spline finite element approach for geometrical design and mechanical analysis. Int. J. Numer. Methods Eng. 41(3), 435–458 (1998)
Kagan, P., Fischer, A., Bar-Yoseph, P.Z.: Mechanically based models: adaptive refinement for B-spline finite element. Int. J. Numer. Methods Eng. 57(8), 1145–1175 (2003)
Lamash, Y., Fischer, A., Carasso, S., Lessick, J.: Strain analysis from 4-D cardiac CT image data. IEEE Trans. Biomed. Eng. 62(2), 511–521 (2015)
Lamash, Y., Fischer, A., Lessick, J.: Elastic image registration using linear basis functions for non-continuously deforming objects. In: 2014 IEEE 11th International Symposium on Biomedical Imaging (ISBI), pp. 572–575. IEEE (2014)
Malmberg, F., Strand, R., Kullberg, J.: Interactive deformation of volume images for image registration. In: Interactive Medical Image Computing (IMIC) Workshop at MICCAI 2015, Munich, Germany, 5–9 October 2015
Pieper, S., Halle, M., Kikinis, R.: 3D slicer. In: IEEE International Symposium on Biomedical Imaging: Nano to Macro, pp. 632–635. IEEE (2004)
Rohr, K., Stiehl, H.S., Sprengel, R., Buzug, T.M., Weese, J., Kuhn, M.H.: Landmark-based elastic registration using approximating thin-plate splines. IEEE Trans. Med. Imaging 20(6), 526–534 (2001)
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. Med. Imaging 18(8), 712–721 (1999)
Schiwietz, T., Georgii, J., Westermann, R.: Interactive model-based image registration. In: VMV, pp. 213–222 (2007)
Sermesant, M., Forest, C., Pennec, X., Delingette, H., Ayache, N.: Deformable biomechanical models: application to 4D cardiac image analysis. Med. Image Anal. 7(4), 475–488 (2003)
Yoshizawa, S., Takemoto, S., Takahashi, M., Muroi, M., Kazami, S., Miyoshi, H., Yokota, H.: Interactive registration of intracellular volumes with radial basis functions. Int. J. Comput. Intell. Appl. 9(03), 207–224 (2010)
Zienkiewicz, O.C., Taylor, R.L.: The Finite Element Method: Solid Mechanics, vol. 2. Butterworth-heinemann, Oxford (2000)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2017 Springer International Publishing AG
About this paper
Cite this paper
Lamash, Y., Fischer, A., Lessick, J. (2017). Finite Element Based Interactive Elastic Image Registration. In: Valdés Hernández, M., González-Castro, V. (eds) Medical Image Understanding and Analysis. MIUA 2017. Communications in Computer and Information Science, vol 723. Springer, Cham. https://doi.org/10.1007/978-3-319-60964-5_52
Download citation
DOI: https://doi.org/10.1007/978-3-319-60964-5_52
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-60963-8
Online ISBN: 978-3-319-60964-5
eBook Packages: Computer ScienceComputer Science (R0)