Erika Mariotti1,
Kilian Weiss2, Sebastian Kozerke1, 2, Thomas
R. Eykyn1, 3
1Division
of Imaging Sciences and Biomedical Engineering, King's College London, London,
United Kingdom; 2Institute for Biomedical Engineering, University
and ETH Zurich, Zurich, Switzerland; 3CRUK and EPSRC Cancer
Imaging Centre, Royal Marsden NHS Trust, The Institute of Cancer Research,
Sutton, Surrey, United Kingdom
Using dynamic spatial-spectral imaging techniques,heterogeneity of myocardial metabolism can be studied and ischemic regions identified. Kinetic information on the underlying metabolic activities can be obtained by fitting the metabolite time series with kinetic models. In this work, we considered the detection limit of hyperpolarized 13C metabolic imaging in identifying local myocardial ischemia depending on ischemic transmurality, SNR and image resolution. A numerical signal model was implemented to simulate in vivo hyperpolarized 13C dynamic images with a range of SNRs and spatial resolutions and a kinetic model of the conversion of pyruvate to bicarbonate was used to extract enzymatic reaction rates
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