Abstract
We present a registration framework that combines both tissue Doppler and B-mode echocardiographic sequences. The estimated spatiotemporal transform is diffeomorphic, and calculated by modeling its corresponding velocity field using continuous B-splines. A new cost function using both B-mode image voxel intensities and Doppler velocities is also proposed. Registration accuracy was evaluated on synthetic data with known ground truth. Results showed that our method allows quantifying wall motion with higher accuracy than when using a single modality. On patient data, both displacement and velocity curves were compared with the ones obtained from widely used commercial software using either B-mode images or TDI. Our method demonstrated to be more robust to image noise while being independent from the beam angle.
Chapter PDF
Similar content being viewed by others
Keywords
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
Szmigielski, C., Rajpoot, K., Grau, V., Myerson, S.G., Holloway, C., Noble, J.A., Kerber, R., Becher, H.: Real-time 3D fusion echocardiography. JACC Cardiovasc Imaging 3(7), 682–690 (2010)
Rajpoot, K., Grau, V., Noble, J.A., Becher, H., Szmigielski, C.: The evaluation of single-view and multi-view fusion 3D echocardiography using image-driven segmentation and tracking. Med. Image Anal. 15(4), 514–528 (2011)
Grau, V., Szmigielski, C., Becher, H., Noble, J.: Combining apical and parasternal views to improve motion estimation in real-time 3D echocardiographic sequences. In: Biomedical Imaging: From Nano to Macro, IEEE ISBI, pp. 516–519 (May 2008)
Piella, G., De Craene, M., Butakoff, C., Grau, V., Yao, C., Nedjati-Gilani, S., Penney, G.P., Frangi, A.F.: Multiview diffeomorphic registration: Application to motion and strain estimation from 3D echocardiography. Med. Image Anal. (2013), http://www.sciencedirect.com/science/article/pii/S1361841513000030
Amundsen, B.H., Crosby, J., Steen, P.A., Torp, H., Slørdahl, S.A., Støylen, A.: Regional myocardial long-axis strain and strain rate measured by different tissue doppler and speckle tracking echocardiography methods: a comparison with tagged magnetic resonance imaging. Eur. J. Echocardiogr. 10(2), 229–237 (2009)
Suhling, M., Arigovindan, M., Jansen, C., Hunziker, P., Unser, M.: Bimodal myocardial motion analysis from B-mode and tissue doppler ultrasound. In: Biomedical Imaging: From Nano to Macro, IEEE ISBI, vol. 1, pp. 308–311 (April 2004)
De Craene, M., Piella, G., Camara, O., Duchateau, N., Silva, E., Doltra, A., D’hooge, J., Brugada, J., Sitges, M., Frangi, A.F.: Temporal diffeomorphic free-form deformation: Application to motion and strain estimation from 3D echocardiography. Med. Image Anal. 16(2), 427–450 (2012)
Byrd, R.H., Lu, P., Nocedal, J., Zhu, C.: A limited memory algorithm for bound constrained optimization. SIAM J. Sci. Comput. 16(5), 1190–1208 (1995)
De Craene, M., Marchesseau, S., Heyde, B., Gao, H., Alessandrini, M., Bernard, O., Piella, G., Porras, A., Saloux, E., Tautz, L., Hennemuth, A., Prakosa, A., Liebgott, H., Somphone, O., Allain, P., Ebeid, S.M., Delingette, H., Sermesant, M., D’hooge, J.: 3d strain assessment in ultrasound (straus): A synthetic comparison of five tracking methodologies. IEEE Trans. Med Imaging (May 2013)
Chapelle, D., Le Tallec, P., Moireau, P., Sorine, M.: An energy-preserving muscle tissue model: formulation and compatible discretizations. International Journal for Multiscale Computational Engineering 10(2), 189–211 (2012)
Marchesseau, S., Delingette, H., Sermesant, M., Ayache, N.: Fast parameter calibration of a cardiac electromechanical model from medical images based on the unscented transform. Biomech. Model. Mechanobiol. (October 2012)
Gao, H., Choi, H.F., Claus, P., Boonen, S., Jaecques, S., Van Lenthe, G.H., Van der Perre, G., Lauriks, W., D’hooge, J.: A fast convolution-based methodology to simulate 2-d/3-d cardiac ultrasound images. IEEE Trans. Ultrason. Ferroelectr. Freq. Control 56(2), 404–409 (2009)
Evans, D., Norman McDicken, W.: Doppler Ultrasound: Physics, Instrumentation and Signal Processing, 2nd edn. Wiley (2000)
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
Porras, A.R. et al. (2013). Myocardial Motion Estimation Combining Tissue Doppler and B-mode Echocardiographic Images. In: Mori, K., Sakuma, I., Sato, Y., Barillot, C., Navab, N. (eds) Medical Image Computing and Computer-Assisted Intervention – MICCAI 2013. MICCAI 2013. Lecture Notes in Computer Science, vol 8150. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-40763-5_60
Download citation
DOI: https://doi.org/10.1007/978-3-642-40763-5_60
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-40762-8
Online ISBN: 978-3-642-40763-5
eBook Packages: Computer ScienceComputer Science (R0)