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Abstract #4401

A fast, joint sparsity constraint algorithm for improved myelin water fraction mapping

Martijn Nagtegaal1, Burkhard M├Ądler2, Thomas Amthor3, Peter Koken3, and Mariya Doneva3

1TU Berlin, Berlin, Germany, 2Philips, Hamburg, Germany, 3Philips Research Europe, Hamburg, Germany

A new method for myelin water fraction mapping from multi-echo spin echo data using a joint sparsity constraint is proposed, which is faster than previously proposed methods. This method is based on the assumption that the T2 spectrum is sparse and consists of a common small set of discrete relaxation times for all voxels. The method finds an estimation of the flip angle inhomogeneity map from the data itself, to remove the bias caused by B1 inhomogeneities. The proposed method is compared to state of the art MWF approaches in 3T brain measurements.

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