Detector Array for Hyperpolarized Carbon Magnetic Resonance Imaging In-Vivo

• Unité de recherche: INNOSUISSE
• Numéro de projet: 14727.1;9 PFLS-LS
• Titre du projet anglais: Detector Array for Hyperpolarized Carbon Magnetic Resonance Imaging In-Vivo

Description succincte (Allemand)

Detector Array for Hyperpolarized Carbon Magnetic Resonance Imaging In-Vivo

Description succincte (Anglais)

Detector Array for Hyperpolarized Carbon Magnetic Resonance Imaging In-Vivo

Résumé des résultats (Abstract) (Allemand)

Among the medical imaging modalities available today, Magnetic Resonance (MR) is the only non-invasive method for mapping metabolism in the living subject. In addressing the relative insensitivity of the technique, hyperpolarization methods have emerged allowing for short-term amplification of the MR signal of endogenous substrates by up to 30¿000-fold and hence make observation of real-time metabolism possible. It is the purpose of the present project to develop, implement and validate an optimal multi-channel detector array for metabolic imaging of hyperpolarized carbon substrates injected in-vivo. Applications include the study of fundamental physiology, metabolic derangement and the assessment of pharmacological interventions in cardiovascular disease models.

Résumé des résultats (Abstract) (Anglais)

Among the medical imaging modalities available today, Magnetic Resonance (MR) is the only non-invasive method for mapping metabolism in the living subject. In addressing the relative insensitivity of the technique, hyperpolarization methods have emerged allowing for short-term amplification of the MR signal of endogenous substrates by up to 30¿000-fold and hence make observation of real-time metabolism possible. It is the purpose of the present project to develop, implement and validate an optimal multi-channel detector array for metabolic imaging of hyperpolarized carbon substrates injected in-vivo. Applications include the study of fundamental physiology, metabolic derangement and the assessment of pharmacological interventions in cardiovascular disease models.