Quantification & Analysis: Diffusion
Sunrise Course
ORGANIZERS: HyungJoon Cho, Rita Nunes, Khin Tha, Mingming Wu
Tuesday, 07 May 2024
Room 334-336
07:00 -
08:00
Moderators: Andrada Ianus & C. C. Tchoyoson Lim
Skill Level: Intermediate to Advanced
Session Number: S-T-07
CME Credit
Session Number: S-T-07
Overview
In this four-day sunrise course, different quantitative imaging techniques, that is, relaxometry, advanced diffusion imaging, MR spectroscopic imaging, and perfusion, will be discussed with a focus on technical aspects and clinical applications.
Target Audience
Scientists, technologists, and clinicians interested in advanced quantitative imaging techniques and analytics.
Educational Objectives
As a result of attending this course, participants should be able to:
- Describe advanced diffusion signal models beyond conventional diffusion tensor imaging; and
- Describe the main target applications of advanced diffusion signal models.
| 07:00 | | Advanced Diffusion Imaging: Technical Chantal Tax |
| 07:30 | | Advanced Diffusion Imaging: Application Takashi Yoshiura Keywords: Neuro: Brain, Neuro: Nervous system, Image acquisition: Modelling Variety of advanced diffusion MRI techniques have been developed to obtain more detailed microstructural features than those provided by conventional diffusion-weighted imaging and diffusion tensor imaging. DKI was proposed to evaluate non-Gaussian diffusion. NODDI is a three-compartment model for the brain tissue. Recent introduction of OGSE diffusion-weighted sequences enables us to investigate diffusion time dependence of ADC, from which spatial intervals of diffusion-restricting barriers can be estimated. Double diffusion encoding and multi-dimensional diffusion MRI sequences may be useful to evaluate microscopic diffusion anisotropy and isotropic/anisotropic diffusion kurtosis. |