Cristina Cudalbu

This study evaluates how retrospective lipid suppression affects metabolite quantification in preclinical proton MRSI, showing significant impacts under high lipid contamination.

This study uses dynamic 1H-[2H]-FID-MRSI and a metabolic model to quantify glucose oxidative metabolism in rat brain regions during 2H-Glc infusion.

The paper compares Backward-Linear-Prediction (BLP) and original 1H-FID-MRSI data to assess quantification biases caused by acquisition delay and shows BLP improves consistency across different delays.

MRS4Brain provides a MATLAB-based toolbox for preclinical MR spectroscopy and imaging, streamlining data processing and improving reproducibility and accessibility.