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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