|Diffusion Weighted MR Spectroscopy|
The course will cover the entire process of generating robust and reproducible single-voxel and spectroscopic imaging DW-MRS data. We will present the pulse sequences used in DW-MRS, including the most recently introduced, and the optimal circumstances for using each of these, based on the goal of the study. We will then discuss the role of phase/amplitude navigators in DW-MRSI and strategies for real time re-acquisition of corrupted k-space DW-MRS data. Strategies and techniques for eddy current corrections will be discussed, including e.g. the use of singular value decomposition of the residual water signal. Ultimately, various modelling strategies of DW-MRS data will be presented, as well as how to incorporate information from other modalities such as DTI and tissue segmentation into the modelling of DW-MRS data.
The course will consist of two parts: in the fi rst, a series of lectures will cover the main methodological aspects in DW-MRS, from acquisition to analysis and modelling, and emerging neuroscience and clinical research applications. The second part is a fully hands-on section, where attendees will plan and execute a DW-MRS experiment, export the data and process it with a comprehensive MATLAB code for DW-MRS signal processing that will be provided to them, and fi nally will analyze the data to generate diffusion properties of the metabolites they measured in the experiment. DW-MRS experiments will be performed on a 3T PRISMA scanner. For the processing, attendees will be able to use the computers available at the center.
Further Information: https://www.esmrmb.org/education/lectures-on-mr/courses-2019/diffusion/
|Ort Paris / FR|