Ece Ercan1, Andrew Webb1, Itamar Ronen1
1C. J. Gorter Center for High Field MRI, Department of Radiology, Leiden University Medical Center, Leiden, Netherlands
We present a rapid method for the robust and accurate estimation of brain metabolite relaxation rates based on a single-shot CPMG sequence with multiple echoes. Each echo consists of a small number of acquired time-domain points. These truncated data sets are subsequently extended with additional data points calculated via solving a set of linear equations for the peak amplitudes using previously estimated frequencies and linewidths as priors. These priors are obtained from a short single volume MRS experiment with subsequent linear prediction using singular value decomposition (LPSVD) processing.
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