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Abstract #0561

Motion Adaptive HYPR: An Algorithm for Dynamic Imaging Applications

Lauren Keith1, Alexei Samsonov1, Orhan Unal1, Dana Peters2, Charles Mistretta1,3, Julia Velikina1

1Medical Physics, University of Wisconsin-Madison, Madison, WI, USA; 2Harvard University, Boston, MA, USA; 3Radiology, University of Wisconsin-Madison, Madison, WI, USA

HYPR and HYPR LR algorithms provide means for reconstructing images with high SNR and high spatial resolution from undersampled datasets. However, the conventional formation of the composite image makes applications to dynamic imaging difficult. HYPR MA circumvents the problem of blurring due to object motion by computing a composite image in an alternate fashion. Using this technique, dynamic images can be reconstructed with high SNR, high spatial resolution, and high temporal resolution. Applications to cardiac imaging and catheter tracking are shown.