Although the hyperpolarized (HP) spectroscopy shows significant SNR enhancement, quantification of the HP in-vivo spectrum can sometimes be challenging due to low metabolite levels, rapid signal relaxation, short acquisition time, and signal overlap. This study describes a quantification pipeline which includes spectral denoising and automatic fitting using LCModel in order to monitor dynamic HP in-vivo brain metabolism. HP [2-13C] Pyruvate in-vivo data was acquired from healthy rats. Proposed quantification pipeline revealed low concentration metabolites which were not clearly visible before denoising and allowed for improved metabolic kinetic information.
This abstract and the presentation materials are available to members only; a login is required.