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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