We present an optical flow-based algorithm to estimate heart wall motion from ultrasound sequences. The method exploits two ultrasound modalities, i.e., B-mode (grayscale data) and tissue Doppler (partial velocity measurements). We use a local affine velocity model to account for typical heart motions such as contraction/expansion and shear. The affine model parameters give also access to so-called strain rate parameters that describe local myocardial deformation such as wall thickening. The estimation of large motions is made possible through the use of a coarse-to-fine multi-scale strategy, which also adds robustness to the method. © Springer-Verlag Berlin Heidelberg 2007.
CITATION STYLE
Sühling, M., Arigovindan, M., Jansen, C., Hunziker, P., & Unser, M. (2007). Myocardial motion and strain rate analysis from ultrasound sequences. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 3417 LNCS, pp. 177–189). Springer Verlag. https://doi.org/10.1007/978-3-540-69866-1_13
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