Abstract
We propose a new method to analyse deformation of the cardiac left ventricular wall from tagging magnetic resonance images. The method exploits the fact that the time-dependent frequency covector field representing the tag pattern is tightly coupled to the myocardial deformation and not affected by tag fading. Deformation and strain tensor fields can be retrieved from local frequency estimates given at least n (independent) tagging sequences, where n denotes spatial dimension. Our method does not require knowledge of material motion or tag line extraction. We consider the conventional case of two tag directions, as well as the overdetermined case of four tag directions, which improves robustness. Additional scan time can be prevented by using one or two grid patterns consisting of multiple, simultaneously acquired tag directions. This concept is demonstrated on patient data. Tracking errors obtained for phantom data are smaller than those obtained by HARP, 0.32±0.14 px versus 0.53±0.07 px. Strain results for volunteers are compared with corresponding linearised strain fields derived from HARP.
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Götte, M.J., van Rossum, A.C., Twisk, J.W.R., Kuijer, J.P.A., Marcus, J.M., Visser, C.A.: Quantification of regional contractile function after infarction: Strain analysis superior to wall thickening analysis in discriminating infarct from remote myocardium. Journal of the American College of Cardiology 37, 808–817 (2001)
Delhaas, T., Kotte, J., van der Toorn, A., Snoep, G., Prinzen, F.W., Arts, T.: Increase in left ventricular torsion-to-shortening ratio in children with valvular aorta stenosis. Magnetic Resonance in Medicine 51, 135–139 (2004)
Bohs, L., Geiman, B., Anderson, M., Gebhart, S., Trahey, G.: Speckle tracking for multi-dimensional flow estimation. Ultrasonics 38, 369–375 (2000)
Zerhouni, E.A., Parish, D.M., Rogers, W.J., Yang, A., Shapiro, E.P.: Human heart: Tagging with MR imaging—a method for noninvasive assessment of myocardial motion. Radiology 169(1), 59–63 (1988)
Axel, L., Dougherty, L.: MR imaging of motion with spatial modulation of magnetization. Radiology 171(3), 841–845 (1989)
Osman, N.F., Kerwin, W.S., McVeigh, E.R., Prince, J.L.: Cardiac motion tracking using CINE harmonic phase (HARP) magnetic resonance imaging. Magnetic Resonance in Medicine 42(6), 1048–1060 (1999)
Garot, J., Bluemke, D.A., Osman, N.F., Rochitte, C.E., McVeigh, E.R., Zerhouni, E.A., Prince, J.L., Lima, J.A.C.: Fast determination of regional myocardial strain fields from tagged cardiac images using harmonic phase MRI. Circulation 101(9), 981–988 (2000)
Qian, Z., Liu, Q., Metaxas, D., Axel, L.: Identifying regional cardiac abnormalities from myocardial strains using non-tracking-based strain estimation and spatio-temporal tensor analysis. IEEE Transactions on Medical Imaging 30(12), 2017–2029 (2011)
Arts, T., Prinzen, F.W., Delhaas, T., Milles, J.R., Rossi, A.C., Clarysse, P.: Mapping displacement and deformation of the heart with local sine-wave modeling. IEEE Transactions on Medical Imaging 29(5), 1114–1123 (2010)
Florack, L., van Assen, H.: A new methodology for multiscale myocardial deformation and strain analysis based on tagging MRI. International Journal of Biomedical Imaging, Article ID 341242 (2010), http://dx.doi.org/10.1155/2010/341242
Gabor, D.: Theory of communication. part 1: The analysis of information. Journal of the Institution of Electrical Engineers - Part III: Radio and Communication Engineering 93(26), 429–441 (1946)
Mallat, S.: A wavelet tour of signal processing. Academic Press (1999)
Duits, R., Führ, H., Janssen, B., Bruurmijn, M., Florack, L., van Assen, H.: Evolution equations on Gabor transforms and their applications. Applied and Computational Harmonic Analysis 35(3), 483–526 (2013), http://dx.doi.org/10.1016/j.acha.2012.11.007
Haupt, P.: Continuum Mechanics and Theory of Materials. Springer, Berlin (2002)
Bruurmijn, L., Kause, H., Filatova, O., Duits, R., Fuster, A., Florack, L., van Assen, H.: Myocardial deformation from local frequency estimation in tagging mri. In: Ourselin, S., Rueckert, D., Smith, N. (eds.) FIMH 2013. LNCS, vol. 7945, pp. 284–291. Springer, Heidelberg (2013)
Osman, N.F., McVeigh, E.R., Prince, J.L.: Imaging heart motion using harmonic phase MRI. IEEE Transactions on Medical Imaging 19(3), 186–202 (2000)
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Kause, H.B. et al. (2014). Direct Myocardial Strain Assessment from Frequency Estimation in Tagging MRI. In: Camara, O., Mansi, T., Pop, M., Rhode, K., Sermesant, M., Young, A. (eds) Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges. STACOM 2013. Lecture Notes in Computer Science, vol 8330. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-54268-8_25
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DOI: https://doi.org/10.1007/978-3-642-54268-8_25
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