Abstract #0411

Free-Breathing, Self-Navigated Isotropic 3-D CINE Imaging of the Whole Heart Using Cartesian Sampling

Jens Wetzl^1,2, Felix Lugauer¹, Michaela Schmidt³, Andreas Maier^1,2, Joachim Hornegger^1,2, and Christoph Forman³

¹Pattern Recognition Lab, Department of Computer Science, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany, ²Erlangen Graduate School in Advanced Optical Technologies, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany, ³Magnetic Resonance, Product Definition and Innovation, Siemens Healthcare GmbH, Erlangen, Germany

We present a method for free-breathing, isotropic 3-D CINE imaging of the whole heart, demonstrated with experiments in 7 healthy volunteers. Respiratory information for retrospective gating is derived directly from the imaging data. Ventricular function parameters were compared to reference 2-D CINE acquisitions. Excellent image quality and match to ground truth ventricular function parameters could be achieved in an acquisition time similar to multi-slice 2-D CINE with equivalent coverage. Cartesian sampling combined with dual-GPU acceleration enabled a fast reconstruction in under 5 minutes for left-ventricular and under 7 minutes for whole heart coverage.

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