Elisabeth Innorta-Coupez

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We present a new motion estimation approach for cardiac Magnetic Resonance Imaging (MRI) data from a variational framework. The improved performance of variational approach has been achieved by designing a new regularization term that properly handles motion discontinuities. This approach was applied to both synthetic and real data. The quantitative(More)
This paper presents a new method to estimate left ventricle deformations using variational data assimilation that combines image observations from cine MRI and a dynamic evolution model of the heart. The main contribution of the model is that it embeds parameters modeling the contraction / relaxation process. It estimates myocardial motion and contraction(More)
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