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Abstract #1466

Dynamic 3D MRI of the whole lung using constrained reconstruction with learned dictionaries

Sampada Bhave 1 , Sajan Goud Lingala 2 , John Newell 1 , Alejandro Comellas 1 , and Mathews Jacob 1

1 University of Iowa, Iowa City, Iowa, United States, 2 Electrical Engineering, University of Southern California, Los Angeles, California, United States

Since MR uses non-iodizing radiation, 3D dynamic MR imaging of respiratory mechanics is a promising alternative to CT. Spirometry measurements provides only global parameters. These are often non-specific to lung diseases and also are not sensitive to detect early lung function changes since they do not provide any spatial information. Current clinical lung protocols lack the temporal resolution and slice coverage required to image the dynamics of the entire thorax. In this work, we demonstrate a rapid imaging scheme for free breathing 3D dynamic lung MRI by using dictionary learning in combination with parallel imaging and radially sampled acquisitions.

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