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Abstract #4100

Estimation of Metabolite Signals for In Vitro MRI of Glycolytic Flow in Hyperpolarized Carbon-13

Ching-Yi Hsieh1,2, Ying-Chieh Lai3, Kuan-Ying Lu3, and Gigin Lin1,2,3
1Institute for Radiological Research, Chang Gung University, Taoyuan, Taiwan, 2Clinical Metabolomics Core Laboratory, Chang Gung Memorial Hospital, Linkou, Taoyuan, Taiwan, 3Department of Medical Imaging and Intervention, Chang Gung Hospital, Linkou, Taoyuan, Taiwan

Synopsis

Keywords: Data Processing, Hyperpolarized MR (Non-Gas), metabolites; apparent exchange rate; kinetic modelDownstream metabolites may have a poor SNR in hyperpolarized carbon-13 MRI, generating apparent exchange rate constant discrepancies when studying glycolytic flow in vivo or in vitro dynamically in real-time. We developed a method for estimating metabolite signal. This approach estimates metabolite signals using kinetic modeling and noise. The process was evaluated using simulations and in vitro studies. In vitro findings were also compared to 13C NMR cell media AUC. Comparing in vitro data from our method and NMR, both demonstrated consistency when uncertainty was included, suggesting that our method can accurately quantify metabolite signals and indicate how glycolytic flow changes.

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Keywords