Abstract
The present paper builds upon recent advances in the spatiotemporal alignment of cardiac sequences to construct a statistical atlas of normal motion. Comparing cardiac sequences requires considering both the temporal component (changes along the sequences) and the inter-subject one. The objective here is to understand the changes in the comparison of myocardial velocities depending on (1) the chosen reorientation action (finite strain [local rotation only], local rotation and isotropic scaling, or full Jacobian matrix using the push-forward) and (2) the chosen system of coordinates (Lagrangian, Eulerian, or if a compromise between both [e.g. hybrid-Eulerian] is possible). Myocardial velocities are estimated locally using speckle tracking on echocardiographic (US) sequences, then aligned to a reference timescale, and finally reoriented to the anatomical reference according to the chosen reorientation framework. The methodology was applied to 2D US sequences in a 4-chamber view from 71 healthy volunteers. Experiments highlight the limitations of the hybrid-Eulerian scheme, showing that the intra-subject transformation should be taken into account, and discuss the options to perform the inter-subject one.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
References
Adam, D., Landesberg, A., Konyukhov, E., Lysyansky, P., Lichtenstein, O., Smirin, N., Friedman, Z.: On changing coordinate systems for longitudinal tensor-based morphometry. In: Proc. IEEE Computers in Cardiology, pp. 337–340 (2004)
Behar, V., Adam, D., Lysyansky, P., Friedman, Z.: The combined effect of nonlinear filtration and window size on the accuracy of tissue displacement estimation using detected echo signals. Ultrasonics 41(9), 743–753 (2004)
Bijnens, B., Cikes, M., Butakoff, C., Sitges, M., Crispi, F.: Myocardial motion and deformation: What does it tell us and how does it relate to function? Fetal Diagnosis and Therapy (in press, 2012)
Bossa, M.N., Zacur, E., Olmos, S.: On changing coordinate systems for longitudinal tensor-based morphometry. In: Proc. Spatio-temporal Image Analysis for Longitudinal and Time-Series Image Data, MICCAI 2010 Workshop (2010)
Davis, B.C., Fletcher, P.T., Bullitt, E., Joshi, S.: Population shape regression from random design data. International Journal of Computer Vision 90, 255–266 (2010)
De Craene, M., Piella, G.: An implementation of TDFFD and LDFFD algorithms. Insight Journal 63 (2012), http://hdl.handle.net/10380/3345
De Craene, M., Piella, G., Camara, O., Duchateau, N., Silva, E., Doltra, A., D’hooge, J., Brugada, J., Sitges, M., Frangi, A.F.: Spatiotemporal diffeomorphic free-form deformation: Application to motion and strain estimation from 3D echocardiography. Medical Image Analysis 16(2), 427–450 (2012)
Duchateau, N., De Craene, M., Piella, G., Frangi, A.F.: Constrained manifold learning for the characterization of pathological deviations from normality. Medical Image Analysis (in press, 2012)
Duchateau, N., De Craene, M., Piella, G., Silva, E., Doltra, A., Sitges, M., Bijnens, B.H., Frangi, A.F.: A spatiotemporal statistical atlas of motion for the quantification of abnormal myocardial tissue velocities. Medical Image Analysis 15, 316–328 (2011)
Durrleman, S., Pennec, X., Trouvé, A., Gerig, G., Ayache, N.: Spatiotemporal Atlas Estimation for Developmental Delay Detection in Longitudinal Datasets. In: Yang, G.-Z., Hawkes, D., Rueckert, D., Noble, A., Taylor, C. (eds.) MICCAI 2009, Part I. LNCS, vol. 5761, pp. 297–304. Springer, Heidelberg (2009)
Fornwalt, B.K.: The dyssynchrony in predicting response to cardiac resynchronization therapy: A call for change. Journal of the American Society of Echocardiography 24, 180–184 (2011)
Glaunes, J.A.: Transport par difféomorphismes de points, de mesures et de courants pour la comparaison de formes et l’anatomie numérique. Phd thesis, Université Paris 13 (2005)
Hart, G., Shi, Y., Zhu, H., Sanchez, M., Styner, M., Niethamme, M.: DTI longitudinal atlas construction as an average of growth models. In: Proc. Spatio-temporal Image Analysis for Longitudinal and Time-Series Image Data, MICCAI 2010 Workshop (2010)
Hoogendoorn, C., Whitmarsh, T., Duchateau, N., Sukno, F.M., De Craene, M., Frangi, A.F.: A groupwise mutual information metric for cost efficient selection of a suitable reference in cardiac computational atlas construction. In: Proc. SPIE International Conference on Medical Imaging, p. 76231R (2010)
Khan, A.R., Trouvé, A., Beg, M.F.: Cross-sectional analysis of anatomical shape change over time via statistics on 4D within-subject flows. In: Proc. Spatio-temporal Image Analysis for Longitudinal and Time-Series Image Data, MICCAI 2010 Workshop (2010)
Langs, G., Kasprian, G., Dittrich, E., Bittner, M., Brugger, P.C., Prayer, D.: Group-wise spatio-temporal registration and segmentation of fetal cortical surface development. In: Proc. Spatio-temporal Image Analysis for Longitudinal and Time-Series Image Data, MICCAI 2010 Workshop (2010)
Leitman, M., Lysyansky, P., Sidenko, S., Shir, V., Peleg, E., Binenbaum, M., Kaluski, E., Krakover, R., Vered, Z.: Two-dimensional strain-a novel software for real-time quantitative echocardiographic assessment of myocardial function. Journal of the American Society of Echocardiography 17, 1021–1029 (2004)
Lorenzi, M., Ayache, N., Pennec, X.: Schild’s Ladder for the Parallel Transport of Deformations in Time Series of Images. In: Székely, G., Hahn, H.K. (eds.) IPMI 2011. LNCS, vol. 6801, pp. 463–474. Springer, Heidelberg (2011)
Lorenzi, M., Pennec, X.: Geodesics, parallel transport and one-parameter subgroups for diffeomorphic image registration. In: Proc. Mathematical Foundations of Computational Anatomy, MICCAI 2011 Workshop, pp. 64–74 (2011)
Marwick, T.H., Yu, C.-M., Sun, J.P.: Myocardial Imaging: Tissue Doppler and Speckle Tracking. Wiley-Blackwell (2007)
Miller, M.I., Qiu, A.: The emerging discipline of computational functional anatomy. Neuroimage 45, S16–S39 (2009)
Moravi, V., Lang, R.M., Badano, L.P., Belohlavek, M., Cardim, N.M., Derumeaux, G., Galderisi, M., Marwick, T., Nagueh, S.F., Sengupta, P.P., Sicari, R., Smiseth, O.A., Smulevitz, B., Takeuchi, M., Thomas, J.D., Vannan, M., Voigt, J.-U., Zamorano, J.L.: Current and evolving echocardiographic techniques for the quantitative evaluation of cardiac mechanics. Journal of the American Society of Echocardiography 24, 277–313 (2011)
Pennec, X., Lorenzi, M.: Which parallel transport for the statistical analysis of longitudinal deformations? In: Proc. Colloque GRETSI (2011)
Perperidis, D., Mohiaddin, R.H., Rueckert, D.: Spatio-temporal free-form registration of cardiac MR image sequences. Medical Image Analysis 9, 441–456 (2005)
Peyrat, J.-M., Delingette, H., Sermesant, M., Xu, C., Ayache, N.: Registration of 4D cardiac CT sequences under trajectory constraints with multichannel diffeomorphic demons. IEEE Transactions on Medical Imaging 29, 1351–1368 (2010)
Qiu, A., Albert, M., Younes, L., Miller, M.I.: Time sequence diffeomorphic metric mapping and parallel transport track time-dependent shape changes. Neuroimage 45, S51–S60 (2009)
Qiu, A., Younes, L., Miller, M.I., Csernansky, J.G.: Parallel transport in diffeomorphisms distinguishes the time-dependent pattern of hippocampal surface deformation due to healthy aging and the dementia of the Alzheimer’s type. NeuroImage 40, 68–76 (2008)
Toga, A.W., Thompson, P.M., Mori, S., Amunts, K., Zilles, K.: Towards multimodal atlases of the human brain. Nature Reviews Neuroscience 7, 952–966 (2006)
Trouvé, A., Vialard, F.X.: Shape splines and stochastic shape evolutions: A second order point of view. Quarterly of Applied Mathematics 70, 219–251 (2012)
Tu, L.W.: An Introduction to Manifolds, ch. 14. Springer (2007)
Vialard, F.X., Trouvé, A.: A second-order model for time-dependent data interpolation: Splines on shape spaces. In: Proc. Spatio-temporal Image Analysis for Longitudinal and Time-Series Image Data, MICCAI 2010 Workshop (2010)
Young, A.A., Frangi, A.F.: Computational cardiac atlases: from patient to population and back. Experimental Physiology 94, 578–596 (2009)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2012 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Duchateau, N., De Craene, M., Pennec, X., Merino, B., Sitges, M., Bijnens, B. (2012). Which Reorientation Framework for the Atlas-Based Comparison of Motion from Cardiac Image Sequences?. In: Durrleman, S., Fletcher, T., Gerig, G., Niethammer, M. (eds) Spatio-temporal Image Analysis for Longitudinal and Time-Series Image Data. STIA 2012. Lecture Notes in Computer Science, vol 7570. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33555-6_3
Download citation
DOI: https://doi.org/10.1007/978-3-642-33555-6_3
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-33554-9
Online ISBN: 978-3-642-33555-6
eBook Packages: Computer ScienceComputer Science (R0)