Abstract
We present a new motion estimation approach for cardiac Magnetic Resonance Imaging (Cine-MRI) data from variational framework. The improved performance of this variational approach has been achieved by designing a new regularization term that properly handles motion discontinuities. This approach was applied to both synthetic and real data. The quantitative evaluation revealed that the results of proposed method on cine-MRI correlates with the results given by inTag, reference approach on tagged-MRI.
Access provided by Autonomous University of Puebla. Download to read the full chapter text
Chapter PDF
Similar content being viewed by others
Keywords
- Motion Estimation
- Cardiac Magnetic Resonance Image
- Radial Displacement
- Regularization Term
- Angular Error
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
References
Baker, S., Scharstein, D., Lewis, J.P., Roth, S., Black, M.J., Szeliski, R.: A database and evaluation methodology for optical flow. In: ICCV (2007)
Zhang, Z., Song, X., Sahn, D.J.: Cardiac motion estimation from 3D echocardiography with spatiotemporal regularization. In: Metaxas, D.N., Axel, L. (eds.) FIMH 2011. LNCS, vol. 6666, pp. 350–358. Springer, Heidelberg (2011)
Barron, J., Fleet, D., Beauchemin, S.: Performance of optical flow techniques. International Journal of Computer Vision 12, 43–77 (1994)
Brox, T., Bruhn, A., Papenberg, N., Weickert, J.: High accuracy optical flow estimation based on a theory for warping. In: Pajdla, T., Matas, J(G.) (eds.) ECCV 2004. LNCS, vol. 3024, pp. 25–36. Springer, Heidelberg (2004)
Carranza-Herrezueloa, N., Bajo, A., Sroubek, F., Santamarta, C., Cristobal, G., Santos, A., Ledesma-Carbayo, M.J.: Motion estimation of tagged cardiac magnetic resonance images using variational techniques. Computerized Medical Imaging and Graphics 34, 514–522 (2010)
Cohen, I.: Nonlinear variational method for optical flow computation. In: Proceedings of the 8th SCIA, pp. 523–630 (1993)
Deriche, R., Kornprobst, P., Aubert, G.: Optical-flow estimation while preserving its discontinuities: A variational approach. In: Asian Conference on Computer Vision, vol. 2, pp. 71–80 (1995)
Horn, B., Schunck, B.: Determining optical flow. Artificial Intelligence 17, 185–203 (1981)
Kima, Y., Martinez, A.M., Kaka, A.C.: Robust motion estimation under varying illumination. Image and Vision Computing 23, 365–375 (2005)
Mansi, T., Peyrat, J.-M., Sermesant, M., Delingette, H., Blanc, J., Boudjemline, Y., Ayache, N.: Physically-constrained diffeomorphic demons for the estimation of 3D myocardium strain from cine-MRI. In: Ayache, N., Delingette, H., Sermesant, M. (eds.) FIMH 2009. LNCS, vol. 5528, pp. 201–210. Springer, Heidelberg (2009)
Mitiche, A., Bouthemy, P.: Computation and analysis of image motion: A synopsis of current problems and methods. IJCV 19, 29–55 (1996)
Nagel, H.H.: Constraints for the estimation of displacement vector fields from image sequences. In: Proc. Eighth Int. Joint Conf. on Artificial Intelligence, IJCAI, pp. 945–951 (1983)
Papademetris, X., Sinusas, A.J., Dione, D.P., Duncan, J.S.: Estimation of 3D left ventricular deformation from echocardiography. Medical Image Analysis 5, 17–28 (2001)
Stiller, C., Konrad, J.: Estimating motion in image sequences. IEEE Signal Proc. Magazine 16, 70–91 (1999)
Tschumperlé, D., Deriche, R.: Restauration d’images vectorielles par EDP. In: 12ème Congres RFIA, vol. 17, pp. 247–256 (2000)
Tuyisenge, V., Albouy-Kissi, A., Cassagnes, L., Coupez, E., Merlin, C., Windyga, P., Sarry, L.: Variational myocardial tracking from cine-MRI with non-linear regularization. In: Proc. of the 10th IEEE Int. Symposium on Biomedical Imaging 2013 (ISBI 2013), San Francisco, USA. IEEE (2013)
Weickert, J.: On discontinuity-preserving optical flow. In: Proc. Computer Vision and Mobile Robotics Workshop, pp. 115–122 (1998)
Weickert, J., Bruhn, A., Brox, T., Papenberg, N.: A survey on variational optic flow methods for small displacements. Mathematics in Industry 10, 103–136 (2006)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2013 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Tuyisenge, V., Albouy-Kissi, A., Sarry, L. (2013). Variational Myocardial Tracking from Cine-MRI with Non-linear Regularization: Validation of Radial Displacements vs. Tagged-MRI. In: Ourselin, S., Rueckert, D., Smith, N. (eds) Functional Imaging and Modeling of the Heart. FIMH 2013. Lecture Notes in Computer Science, vol 7945. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-38899-6_40
Download citation
DOI: https://doi.org/10.1007/978-3-642-38899-6_40
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-38898-9
Online ISBN: 978-3-642-38899-6
eBook Packages: Computer ScienceComputer Science (R0)