Reconstruction and Quantification of Magnetic Resonance Spectroscopic imaging
Magnetic resonance spectroscopy is a unique non-invasive technique to measure a variety of brain metabolites (e.g.,N-acetylaspartate, creatines, choline, inositol) and neurotransmitters (glutamate, Gamma-Aminobutyric Acid). However, so far it has remained mostly a single voxel technique with limited spatial and temporal resolution. By leveraging novel MR acquisition designs, spatial encoding schemes (spatial-spectral encoding), and reconstruction methods (e.g. compressed sensing) on a state-of-the-art clinical high-field MR scanner, the aim of this project is to improve spatial and temporal resolution to establish functional MR spectroscopic imaging (fMRSI) that enables the measurement of modulation patterns of metabolite (especially neurotransmitter) concentrations upon brain stimulation. In this project you will assistant in implementing, optimization and evaluating fast MRSI sequences, implementing a pipeline to enable a reproducible and stable reconstruction and quantification of fMRSI data. Moreover, your will join MR experiments to learn MR acquisition.
Requirement
Proficiency in MATLAB or Python programming and statistical analysis; basic knowledge of signal processing techniques and MRI or MRS is preferred.
Contact
Please contact [email protected] or [email protected] for information.
