Diffusion Weighted MR Spectroscopy

Paris/FR
October 23- 25, 2019

Course and local organiser:

Francesca Branzoli
Center for Neuroimaging Research (CENIR) – ICM
Paris/FR

Itamar Ronen
C. J. Gorter Center for High Field MRI
Leiden University Medical Center
Leiden/NL

Julien Valette
Molecular Imaging Research Center
Commissariat á l’énergie atomique et aux énergies alternatives (CEA)
Fontenay-aux-Roses/FR

Local Organiser:

Francesca Branzoli
Center for Neuroimaging Research (CENIR) – ICM
Paris/FR

Preliminary Faculty:

F. Branzoli, R. Kreis, C. Ligneul, H. Lundell,
M. Palombo, I. Ronen, N. Shemesh, J. Valette

Programme:

The course programme will be available soon!

Hotel Information

tba

Registration Fees

Early Registration Fee
(until 8 weeks prior to the course)

Regular fee

ESMRMB Members* € 420
ESR Members* € 530
Non-Members € 600

Reduced fee**
Juniors, Radiographers, Seniors

ESMRMB Members* € 300
ESR Members* € 325
Non-Members € 350

Late Registration Fee
(after 8 weeks prior to the course)

Regular fee

ESMRMB Members* € 560
ESR Members* € 670
Non-Members € 740

Reduced fee**
Juniors, Radiographers, Seniors

ESMRMB Members* € 400
ESR Members* € 425
Non-Members € 450

 

Course description

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.

 

Learning Objectives:

 

DW-MRS pulse sequences
• Optimised incorporation of diffusion weighting in standard SV-MRS sequences
• Minimisation of eddy currents and cross-terms with background gradients
• Isotropic DW-MRS
• 2D-DW-CSI: Challenges and the strategies for the use of navigators to minimize signal fl uctuations
• Double diffusion encoding spectroscopy (DDES)
• Designing the right DW-MRS experiment to answer a specific question

Post-processing of DW-MRS data
• Major sources of error in DW-MRS data and their correction
• Strategies for optimal eddy current correction for SV and 2D-DW-CSI data
• The subtle art of cardiac triggering and other prospective motion correction strategies
• Spectral quantifi cation

Modelling and analysis
• Obtaining standard diffusion metrics from DW-MRS data
• Incorporation of models of cellular geometry for obtaining
further information about cellular microstructure
• Incorporation of data from other MR modalities (DTI) for refining and increasing the amount of microstructural information from DW MRS

Emerging neuroscience and clinical research applications
• Attendees and faculty will present and discuss emerging DW-MRS applications in basic science and clinical research