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
Chair of Computer Aided Medical Procedures,
TU Mnchen, Munich, Germany,
fr Medizintechnik (IMETUM), Munich, Germany,
Global Research, Munich, Germany,
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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