A Novel Fully Automatic Motion Correction Scheme for Cardiac Perfusion MR Images Using Group-wise Non-rigid Registration
Sandeep Kaushik 1 , Dattesh Shanbhag 1 , Anne Menini 2 , Sheshadri Thiruvenkadam 1 , Stephanie Reiter 3 , Tobias Heer 3 , Gnter Pilz 3 , and Anja Brau 4
Medical Image Analysis Lab, GE Global
Research, Bangalore, Karnataka, India,
Global Research, Garching, Bavaria, Germany,
of Cardiology, Clinic Agatharied Academic Teaching
Hospital, University of Munich, Hausham, Bavaria,
Healthcare, Garching, Bavaria, Germany
Cardiac perfusion MRI (PWI) scans are typically riddled
with heart motion due to scan times too long for breath
hold. Non-rigid registration (NRR) algorithms are often
used for motion correction. In this work, a group-wise
NRR algorithm for motion correction of cardiac PWI
images is proposed. Signal intensity variations due to
contrast flow can potentially distort and introduce
undesirable intensity changes in NRR output. This has
been addressed using an intensity normalization scheme.
Temporal filter post-processing has been used to
eliminate the residual motion. Resulting contrast curves
demonstrate time course conformity as validated against
ground truth contrast curves.
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