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Robust cardiac motion estimation with dictionary learning and temporal regularization for ultrasound imaging

Ouzir, Nora Leïla and Bioucas-Dias, José and Basarab, Adrian and Tourneret, Jean-Yves Robust cardiac motion estimation with dictionary learning and temporal regularization for ultrasound imaging. (2019) In: IEEE International Ultrasonics Symposium (IUS 2019), 6 October 2019 - 9 October 2019 (Glasgow, United Kingdom).

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Official URL: https://doi.org/10.1109/ULTSYM.2019.8925936


Estimating the cardiac motion from ultrasound (US) images is an ill-posed problem that requires regularization. In a recent study, it was shown that constraining the cardiac motion fields to be patch-wise sparse in a learnt overcomplete motion dictionary is more accurate than local parametric models (affine) or global functions (B-splines, total variation). In this work, we extend this method by incorporating temporal smoothness in a multi-frame optical-flow (OF) strategy. An efficient optimization strategy using the constrained split augmented Lagrangian shrinkage algorithm (C-SALSA) is proposed. The performance is evaluated on a realistic simulated cardiac dataset with available ground-truth. A comparison with the pairwise approach shows the interest of the proposed temporal regularization and multi-frame strategy in terms of accuracy and computational time.

Item Type:Conference or Workshop Item (Paper)
Additional Information:Thanks to IEEE editor. The definitive version is available at http://ieeexplore.ieee.org The original PDF of the article can be found at: https://ieeexplore.ieee.org/document/8925936 Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
HAL Id:hal-02901597
Audience (conference):International conference proceedings
Uncontrolled Keywords:
Institution:French research institutions > Centre National de la Recherche Scientifique - CNRS (FRANCE)
Université de Toulouse > Institut National Polytechnique de Toulouse - Toulouse INP (FRANCE)
Université de Toulouse > Université Toulouse III - Paul Sabatier - UT3 (FRANCE)
Université de Toulouse > Université Toulouse - Jean Jaurès - UT2J (FRANCE)
Université de Toulouse > Université Toulouse 1 Capitole - UT1 (FRANCE)
Other partners > Aalto University (FINLAND)
Other partners > Universidade de Lisboa - ULisboa (PORTUGAL)
Laboratory name:
Deposited On:07 Jul 2020 14:41

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