Abstract
This paper presents strain quantification results obtained from the Tagged Magnetic Resonance Imaging (TMRI) sequences acquired for the 1st cardiac Motion Analysis Challenge (cMAC). We applied the Temporal Diffeomorphic Free Form Deformation (TDFFD) algorithm to the phantom and the 15 healthy volunteers of the cMAC database. The TDFFD was modified in two ways. First, we modified the similarity metric to incorporate frame to frame intensity differences. Second, on volunteer sequences, we performed the tracking backward in time since the first frames did not show the contrast between blood and myocardium, making these frames poor choices of reference.
On the phantom, we propagated a grid adjusted to tag lines to all frames for visually assessing the influence of the different algorithmic parameters. The weight between the two metric terms appeared to be a critical parameter for making a compromise between good tag tracking while preventing drifts and avoiding tag jumps. For each volunteer, a volumetric mesh was defined in the Steady-State Free Precession (SSFP) image, at the closest cardiac time from the last frame of the tagging sequence. Uniform strain patterns were observed over all myocardial segments, as physiologically expected.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Fischer, S.E., McKinnon, G.C., Maier, S.E., Boesiger, P.: Improved myocardial tagging contrast. Magnetic Resonance in Medicine 30(2), 191–200 (1993)
Moore, C.C., Lugo-Olivieri, C.H., McVeigh, E.R., Zerhouni, E.A.: Three-dimensional systolic strain patterns in the normal human left ventricle: Characterization with tagged MR imaging. Radiology 214(2), 453–466 (2000)
Rutz, A.K., Ryf, S., Plein, S., Boesiger, P., Kozerke, S.: Accelerated whole-heart 3D CSPAMM for myocardial motion quantification. Magnetic Resonance in Medicine 59(4), 755–763 (2008)
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. Medical Image Analysis (accepted, to appear)
Tobon-Gomez, C., De Craene, M., Dahl, A., Kapetanakis, S., Carr-White, G., Lutz, A., Rasche, V., Etyngier, P., Schaeffter, T., Riccobene, C., Martelli, Y., Camara, O., Frangi, A.F., Rhode, K.S.: A multimodal database for the 1st cardiac motion analysis challenge. In: Camara, O., Konukoglu, E., Pop, M., Rhode, K., Sermesant, M., Young, A. (eds.) STACOM 2011. LNCS, vol. 7085, pp. 33–44. Springer, Heidelberg (2012)
Ordas, S., Oubel, E., Leta, R., Carreras, F., Frangi, A.F.: A statistical shape model of the whole heart and its application to model-based segmentation. In: SPIE Medical Imaging: Physiology, Function, and Structure from Medical Images, vol. 6511, p. 65111K (2007)
Tutte, W.T.: How to draw a graph. Proc. London Math. Soc. 13(3), 743–768 (1963)
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
De Craene, M. et al. (2012). Temporal Diffeomorphic Free Form Deformation (TDFFD) Applied to Motion and Deformation Quantification of Tagged MRI Sequences. In: Camara, O., Konukoglu, E., Pop, M., Rhode, K., Sermesant, M., Young, A. (eds) Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges. STACOM 2011. Lecture Notes in Computer Science, vol 7085. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-28326-0_7
Download citation
DOI: https://doi.org/10.1007/978-3-642-28326-0_7
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-28325-3
Online ISBN: 978-3-642-28326-0
eBook Packages: Computer ScienceComputer Science (R0)