Single Scan, Multiple Contrasts
Weekend Course
ORGANIZERS: Matthew Grech-Sollars, HyungJoon Cho
Saturday, 10 May 2025
312
08:00 -
12:00
Moderators: Eric Sigmund & Emma Thomson
Skill Level: Intermediate to Advanced
Session Number: WE-05
No CME/CE Credit
Session Number: WE-05
Overview
In this session we will go through various ways of generating multiple contrasts or biomarkers from single acquisition. These include synthetic MR, MR Fingerprinting, using deep learning to generate synthetic images from another image, as well as multiple diffusion and perfusion biomarkers and multi-organ imaging.
Target Audience
Trainees, Clinicians, and MR physicists.
Educational Objectives
As a result of attending this course, participants should be able to:
• Describe how multiple parameters can be extracted from a single acquisition;
• Describe how to identify contrasts/biomarkers for clinical relevance; and
• Explain how to obtain multiple diffusion/perfusion parameters via different modelling approaches.
| 08:00 | | Synthetic MRI Akifumi Hagiwara |
| 08:35 | | Advances in MR Fingerprinting Claudia Prieto |
| 09:10 | | Deep Learning Based Contrast Conversions: Synthetic CT from MRI Anais Barateau Keywords: Image acquisition: Image processing In radiotherapy, MRI is used for target volume and organs-at-risk delineation for its superior soft-tissue contrast as compared to CT imaging. The use of synthetic CT (sCT) from MRI in radiotherapy enables accurate dose calculation without requiring conventional CT scans. sCT is a synthetic image in Hounsfield Units generated from MRI data. This approach enhances radiotherapy workflows, particularly for MR-only radiotherapy or using an MR-Linac. Ongoing challenges are on refining deep learning sCT generation for better robustness, standardization of sCT evaluation, and of course clinical implementation. |
| 09:45 | | Meet the Teachers |
| 10:15 | | Single Scan, Multiple Diffusion Parameters Elizabeth Powell |
| 10:50 | | Single CA Injection, Multiple Perfusion Parameters Benjamin Ellingson |
| 11:25 | | Multi Contrast Single Scan for Multi-Organ Applications Jing Liu |