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Abstract #3941

Improved Detection of Phase Unwrapping Errors in 3D Tagged Cardiac Magnetic Resonance Imaging Data

Ming Li 1,2 , Himanshu Gupta 3 , Steven G. Lloyd 3 , Louis J. Dell'Italia 3 , and Thomas S. Denney Jr 1,2

1 AU MRI Research Center, Auburn University, Auburn, AL, United States, 2 Department of Electrical and Computer Engineering, Auburn University, Auburn, AL, United States, 3 Division of Cardiovascular Disease, University of Alabama at Birmingham, Birmingham, AL, United States

Phase unwrapping techniques have been proposed to reconstruct 3D+time strain for tagged cardiac magnetic resonance imaging. In recent research, automatically placed branch cuts were used to resolve phase inconsistencies. An algorithm based on the phase difference between pixels was adopted to detect images where the automated branch cuts failed and manual inspection and correction was required. In this abstract, we propose a method for detecting phase unwrapping errors based on spatial smoothness of the unwrapped phase image, which improved the detection and false positive rate compared to the phase difference method and resulted in more accurate strain and torsion measurements.

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