Abstract #0786

Five-Dimensional Respiratory and Cardiac Motion Compensation Based on Strongly Undersampled MR Data

Christopher M Rank¹, Sebastian Sauppe¹, Thorsten Heußer¹, Andreas Wetscherek¹, and Marc Kachelrieß¹

¹Medical Physics in Radiology, German Cancer Research Center (DKFZ), Heidelberg, Germany

We propose a new method for 5D respiratory and cardiac motion compensation (MoCo), which employs highly undersampled MR data and thus requires acquisition times as low as 2 minutes. Radial MR data of the thorax of three free-breathing patients were acquired. Respiratory and cardiac motion vector fields were estimated allowing for 5D MoCo reconstructions, which employ 100% of the measured raw data for reconstruction of each combination of respiratory and cardiac phase. These 5D MoCo reconstructions clearly resolve different combinations of respiratory and cardiac phases while achieving high temporal and spatial resolution as well as low noise and artifact levels.

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