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Abstract #3794

Reconstruction of Carbon-13 Metabolic MR Images Using Constrained Optimisation

Elena Nasonova 1 , Markus Durst 2 , Concetta Gringeri 3 , Eliane V. Farrell 4 , Michael Friebe 1 , Axel Haase 2 , Markus Schwaiger 4 , and Rolf F. Schulte 3

1 Chair of Computer Aided Medical Procedures, TU Mnchen, Munich, Germany, 2 Zentralinstitut fr Medizintechnik (IMETUM), Munich, Germany, 3 GE Global Research, Munich, Germany, 4 Department for Nuclear Medicine, TU Mnchen, Munich, Germany

MR spectroscopy with hyperpolarised [1-13C] agents is a novel functional imaging modality that examines natural metabolic reactions. Due to rapid signal decay and challenging experimental settings reconstructed images exhibit low signal-to-noise ratio (SNR) and artifacts. In this work the SNR improvement by 20% at least was achieved with iterative reconstruction with included Tikhonov, total variation (TV), total generalised variation (TGV) regularisation terms as well as anatomy-based support mask. The proposed methods were validated in mathematical simulations and in vivo studies and proved to be advantageous for reconstruction of functional metabolic images.

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