  Hyperpolarized 13C-MRI allows real time observation of metabolism in vivo.
Imaging sequences have been developed to follow the metabolism of [1-13C]
pyruvate and extract reaction kinetics, which can show tumour treatment
response. We applied the fitting model and algorithm for the imaging data of
mice tumour models and determined error estimates for the parameters of
interest. Data was least-squares fitted onto a two-site exchange model in
MATLAB, followed by statistic computation to assess model performance.
Inference through the application of MCMC was also performed. The modelling and
inference process extracted quantitative information satisfactorily and
reproducibly, demonstrating metabolic activity and intratumour heterogeneity.
Finally, novel fitting methods were evaluated and further recommendations were
made.
