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Abstract #4498

Model Based Automated 4D Analysis for Real-Time Free-Breathing Cardiac MRI

Bogdan Georgescu1, Nicole Seiberlich2, Tommaso Mansi1, Xiaoguang Lu1, Ali Kamen1, Vidya Nadig3, Dorin Comaniciu1, Mark A. Griswold2

1Imaging and Computer Vision, Siemens Corporation, Corporate Technology, Princeton, NJ, United States; 2Biomedical Engineering, Case Western Reserve University, Cleveland, OH, United States; 3MetroHealth Heart and Vascular Center, Case Western Reserve University, Cleveland, OH, United States

We propose a data-driven automated method to fit a parameterized 4D cardiac model of the left and right ventricles while simultaneously correcting for spatial slice mis-alignment. The method provides quantitative estimates of the ventricles morphology and dynamics and it can be applied to both standard breath-hold short axis CMR stacks as well as to a recently developed real-time free-breathing protocol using an undersampled radial trajectory and reconstructed using through-time radial GRAPPA. Initial results show successful slice re-alignment and quantitative measurements on both protocols are in good agreement with the ground-truth.