Now, in Some Time or Never: Is This Ready To Go Clinical? The Need for
Speed
Sunrise Course
ORGANIZERS: Seung
Hong Choi, Harpreet Hyare, Christin Sander, Katharina Schregel, Wietske
van der Zwaag
Monday, 12 May 2025
311
07:00 - 08:00
Moderators: Chungseok
Oh & Ziwei Zhao
Skill Level: Basic
to Intermediate
Session Number: S-M-05
No CME/CE Credit
Session Number:
S-M-05
Overview
Advanced MRI methods to assess neurofluid flow and dynamics or proteins
and metabolites are emerging and scientifically well investigated.
Moreover, techniques to dramatically speed up image acquisition were
developed. However, are these scientific achievements ready for the
clinical routine? Which advancement is really needed for patient care?
Will a novel technique make the clinician's life easier or just more
complicated?
Target Audience
Advanced MRI methods to assess neurofluid flow and dynamics or proteins
and metabolites are emerging and scientifically well investigated.
Moreover, techniques to dramatically speed up image acquisition were
developed. However, are these scientific achievements ready for the
clinical routine? Which advancement is really needed for patient care?
Will a novel technique make the clinician's life easier or just more
complicated?
Educational Objectives
As a result of attending this course, participants should be able to:
• Describe methods to image neurofluids;
• Identify fast imaging techniques that are applicable in the clinical
routine; and
• Interpret the results from CEST-imaging in the context of brain
diseases.
07:00 |
|
Need for Speed: A Guide to the Neuroradiology Autobahn
Julien Savatovsky
Impact: Clinician's view on accelerating neuroradiology
MRI: workflow integration (acceleration, deep learning),
clinical benefits (productivity, comprehensive exams), and
the "now" perspective
|
07:30 |
|
Need for Speed: How to Accelerate
Kevin Yang
Impact: Overview of accelerated MR acquisition
techniques for neuroimaging will be provided. Range of
readily-available acceleration technologies being used
clinically, to state-of-the-art techniques as well as those
utilizing deep learning or AI-based approaches will be
discussed.
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