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Article Dans Une Revue IEEE Transactions on Image Processing Année : 2013

Myocardial Motion Estimation from Medical Images Using the Monogenic Signal

Résumé

We present a method for the analysis of heart motion from medical images. The algorithm exploits monogenic signal theory, recently introduced as an N-dimensional generalization of the analytic signal. The displacement is computed locally by assuming the conservation of the monogenic phase over time. A local affine displacement model is considered to account for typical heart motions as contraction/expansion and shear. A coarse-to-fine B-spline scheme allows a robust and effective computation of the model's parameters and a pyramidal refinement scheme helps handle large motions. Robustness against noise is increased by replacing the standard point-wise computation of the monogenic orientation with a robust least-squares orientation estimate.
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Dates et versions

hal-01121047 , version 2 (02-05-2013)
hal-01121047 , version 1 (27-02-2015)

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Martino Alessandrini, Adrian Basarab, Hervé Liebgott, Olivier Bernard. Myocardial Motion Estimation from Medical Images Using the Monogenic Signal. IEEE Transactions on Image Processing, 2013, 22 (3), pp.1084-1095. ⟨10.1109/TIP.2012.2226903⟩. ⟨hal-01121047v2⟩
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