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Abstract #2742

Average Correlation Orthogonal Matching Pursuit for Improved Relaxation Parameter Estimation

Nicole Seiberlich1, Dan Ma2, Philipp Ehses3, Vikas Gulani1, Mark Griswold1,2

1Radiology, University Hospitals of Cleveland, Cleveland, OH, United States; 2Biomedical Engineering, Case Western Reserve University, Cleveland, OH, United States; 3Research Center for Magnetic Resonance Bavaria (MRB), Wuerzburg, Germany

Orthogonal Matching Pursuit (OMP) has emerged as a powerful tool for the quantification of MRI relaxation parameters, where a dictionary of simulated signal evolution curves (atoms) is compared with undersampled images in order to determine relaxation parameter maps. When working with multiple parameters (quantifying T1, T2, and M0 simultaneously), atoms can be quite similar, making OMP quantification inaccurate. Using an approach that considers the average correlation instead of simply the highest correlation, we show that the relaxation parameters can be more accurately determined. Average correlation OMP is demonstrated using IR-TrueFISP to yield accurate T1 and T2 maps in abdominal imaging.