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Poster

Optimization of OH-CEST contrast at 3T for clinical application of glucoCEST MRI

MPS-Authors
/persons/resource/persons216010

Gandhi,  C
Max Planck Institute for Biological Cybernetics, Max Planck Society;
Department High-Field Magnetic Resonance, Max Planck Institute for Biological Cybernetics, Max Planck Society;

/persons/resource/persons216025

Herz,  K
Max Planck Institute for Biological Cybernetics, Max Planck Society;
Department High-Field Magnetic Resonance, Max Planck Institute for Biological Cybernetics, Max Planck Society;

/persons/resource/persons215996

Deshmane,  A
Department High-Field Magnetic Resonance, Max Planck Institute for Biological Cybernetics, Max Planck Society;
Max Planck Institute for Biological Cybernetics, Max Planck Society;

/persons/resource/persons84187

Scheffler,  K
Max Planck Institute for Biological Cybernetics, Max Planck Society;
Department High-Field Magnetic Resonance, Max Planck Institute for Biological Cybernetics, Max Planck Society;

/persons/resource/persons214560

Zaiss,  M
Max Planck Institute for Biological Cybernetics, Max Planck Society;
Department High-Field Magnetic Resonance, Max Planck Institute for Biological Cybernetics, Max Planck Society;

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https://www.ismrm.org/18/Traditional_Posters.pdf
(Abstract)

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Citation

Gandhi, C., Longo, D., Anemone, A., Herz, K., Deshmane, A., Lindig, T., et al. (2018). Optimization of OH-CEST contrast at 3T for clinical application of glucoCEST MRI. Poster presented at Joint Annual Meeting ISMRM-ESMRMB 2018, Paris, France.


Cite as: https://hdl.handle.net/21.11116/0000-0001-7D86-C
Abstract
A 3D snapshot CEST sequence is optimized for contrast originating from hydroxyl groups of glucose molecules. Multi-B1-multi-pH measurements allow fitting of exchange rates of four glucose hydroxyl groups, which are then used to optimize pre-saturation parameters in simulation. The optimal protocol gave highly reproducible signals in 6 healthy volunteers, and showed no contrast when tested in a brain tumor patient. This protocol provides a robust baseline for glucose injection studies.