A Generative Framework for Predicting Myocardial Strain from Cine-Cardiac Magnetic Resonance Imaging
Author:
Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-12053-4_36
Reference25 articles.
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2. Sutherland, G.R., Di Salvo, G., Claus, P., D'hooge, J., Bijnens, B.: Strain and strain rate imaging: a new clinical approach to quantifying regional myocardial function. J. Am. Soc. Echocardiogr. 17(7), 788–802 (2004). https://doi.org/10.1016/j.echo.2004.03.027
3. Wu, L., Germans, T., Güçlü, A., Heymans, M.W., Allaart, C.P., van Rossum, A.C.: Feature tracking compared with tissue tagging measurements of segmental strain by cardiovascular magnetic resonance. J. Cardiovasc. Magn. Reson. 16(1), 1–11 (2014). https://doi.org/10.1186/1532-429X-16-10
4. Götte, M.J., Germans, T., Rüssel, I.K., Zwanenburg, J.J., Marcus, J.T., van Rossum, A.C., et al.: Myocardial strain and torsion quantified by cardiovascular magnetic resonance tissue tagging: studies in normal and impaired left ventricular function 48(10), 2002–2011 (2006). https://doi.org/10.1016/j.jacc.2006.07.048
5. Guttman, M.A., Prince, J.L., McVeigh, E.R.: Tag and contour detection in tagged MR images of the left ventricle 13(1), 74–88 (1994). https://doi.org/10.1109/42.276146
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