Abstract #4236

Advances in Model-Based Reconstruction of High Resolution T1 maps

Volkert Roeloffs¹, Xiaoqing Wang¹, and Jens Frahm¹

¹Biomedizinische NMR Forschungs GmbH, Max Planck Institute for Biophysical Chemistry, Goettingen, Germany

Fast and accurate determination of T1 values can be accomplished by Look-Locker type MRI sequences. Here, we formulate T1 mapping as a nonlinear optimization problem which we subsequently solve by the iteratively regularized Gauss Newton (IRGN) method. Our choice of the model parameterization allows to exploit smoothness of the spatial flip angle distribution as additional prior knownledge. This model-based reconstruction allows accurate and precise reconstruction of high resolution T1 maps from radial, highly undersampled data as validated in phantom studies and demonstrated in the human brain.

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