PA. Gómez, G. Buonincontri, M. Molina-Romero, C. Ulas, JI. Sperl, MI. Menzel, B. Menze 3D Magnetic Resonance Fingerprinting with a Clustered Spatiotemporal Dictionary Proceedings of the International Society of Magnetic Resonance in Medicine (ISMRM), Singapore, May 2016 (bib)
	We present a method for creating a spatiotemporal dictionary for magnetic resonance fingerprinting (MRF). Our technique is based on the clustering of multi-parametric spatial kernels from training data and the posterior simulation of a temporal fingerprint for each voxel in every cluster. We show that the parametric maps estimated with a clustered dictionary agree with maps estimated with a full dictionary, and are also robust to undersampling and shorter sequences, leading to increased efficiency in parameter mapping with MRF.
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