Quantification & Analysis: Relaxation
Sunrise Course
ORGANIZERS: HyungJoon Cho, Rita Nunes, Khin Tha, Mingming Wu
Monday, 06 May 2024
Room 334-336
07:00 -
08:00
Moderators: Mariya Doneva & Ji Eun Park
Skill Level: Intermediate to Advanced
Session Number: S-M-07
CME Credit
Session Number: S-M-07
Overview
In this four-day sunrise course, different quantitative imaging techniques - 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:
- Explain conventional (IR) and advanced (fingerprinting) relaxometry sampling strategies and know limitations (B1, B0 inhomogeneity, etc.); and
- Consider potential bias of relaxometry in context of multi-peak behavior and confounders (e.g. J-coupling, bias introduced by diffusion, etc.).
| 07:00 | | Relaxometry: Technical Considerations Martina Callaghan Keywords: Image acquisition: Quantification, Contrast mechanisms: Relaxometry, Neuro: Brain This technical talk will focus on how mixed contrast “weighted” images can be combined with signal models to extract physical quantities that describe the relaxation behaviour of tissue – namely T1, T2 and T2*. A number of approaches will be discussed including inversion recovery, MR fingerprinting and multi-parameter mapping. Important practicalities that need to be considered to maximise the precision and accuracy of these measurements will be highlighted, including accounting for inhomogeneity in the transmit and main magnetic fields, as well as the validity of underlying model assumptions. |
| 07:30 | | Relaxometry: Application to Brain Disorders Akifumi Hagiwara Keywords: Contrast mechanisms: Relaxometry, Neuro: Brain, Image acquisition: Quantification Traditional MRI interpretations rely on contrasting tissue signals, not on absolute signal intensities. Quantification of tissue parameters such as relaxation rates and proton density, which provide an absolute scale, has been limited to research. Advances in rapid quantification are making clinical application viable. This lecture introduces these methods and the synthesis of contrast-weighted (synthetic MRI) images based on absolute values. It further examines the application of these techniques to brain diseases, with promising results in conditions like multiple sclerosis, brain metastases, Sturge-Weber syndrome, and pediatric disorders. |