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Abstract #2738

Improved Single-Shot MR Relaxometry using Principal Component Analysis

Philipp Ehses1, Xavier Helluy1, Michael Vlker1, Vikas Gulani2, Nicole Seiberlich2, Mark a Griswold2, Peter M. Jakob1,3, Felix a Breuer1

1Research Center for Magnetic Resonance Bavaria (MRB), Wrzburg, Germany; 2Dept. of Radiology, University Hospitals of Cleveland & Case Western Reserve University, Cleveland, United States; 3Dept. of Experimental Physics 5, Universitt Wrzburg, Wrzburg, Germany

Quantitative MRI has not yet found widespread clinical adoption, mainly due to long scan times required to map the various parameters of interest. PCA has previously been used to reconstruct data from an undersampled time series, and it has been demonstrated that relaxometry dynamics can be well described by a small number of principal components. In this work, we present a novel PCA based reconstruction method, which allows the quantification of T1, T2 and spin-density from a single IR TrueFISP experiment in under 5s per slice. Undersampling artifacts were completely removed and the results were comparable to a fully-encoded reference.