ISMRM22 - Can CMR Become a Broadly Available Point-of-Care Modality?

Joint Annual Meeting ISMRM-ESMRMB & ISMRT 31st Annual Meeting • 07-12 May 2022 • London, UK

Can CMR Become a Broadly Available Point-of-Care Modality?

Member-Initiated Symposium

Monday, 09 May 2022

ICC Capital Hall 2

14:45 - 16:45

Moderators: Adrienne Campbell-Washburn & Gastao Cruz

Session Number: MIS-11

René Botnar, Michael Markl, and David Sosnovik.

Overview
Currently, cardiac MR (CMR) is considered a highly complex and rather expensive imaging technology that requires highly trained technicians/clinicians, and which is mainly performed in academic hospitals. The proposed workshop will discuss how latest developments in artificial intelligence (AI) and MR acquisition/reconstruction in combination with knowledge gained from large CMR trials/biobanks and health economics studies could turn CMR into an easy-to-use and affordable mainstream imaging modality, which could be used in GP practices and regional hospitals (point-of-care). More specifically we will discuss how latest developments in MR physics, motion correction and image reconstruction can be harnessed to enable a self-driving CMR examination (no planning, no breath holds) that provides comprehensive disease characterization in a short, less than 10 minutes scan. We will then discuss how AI can enable automated image processing/analysis and create automated diagnosis and treatment planning. To get a better understanding where CMR could play an increasing role in the patient pathway we will discuss lessons learned from large clinical trials/biobanks and focus on the healthcare economics side of CMR. Finally, we will end the workshop by discussing the potential of AI in replacing the use of gadolinium. The symposium fits perfectly with efforts of the MR community of making MR easier to use and more affordable. It is also aligned with the ISMRM 2022 “Clinical focus meeting”.

Target Audience
This symposium is intended for radiologists, cardiologists, scientists and technicians interested in current and future developments in CMR.

Educational Objectives
As a result of attending this course, participants should be able to:
To understand how novel more intelligent MR sequences can provide a comprehensive diagnosis with minimal user input.

	14:45		All-in-One CMR: Free-Running Multi-Contrast Data Acquisition Video Unavailable Anthony Christodoulou Cedars Sinai Medical Center
	15:09		AI Enabled Image Processing Pipeline for CMR Video Unavailable Esther Puyol Anton King's College London
	15:33		Healthcare Economics in CMR Video Unavailable Steffen Petersen Queen Mary University
	15:57		Lessons Learned from CMR Tissue Characterization Video Unavailable Martin Ugander University of Sydney, Australia
	16:21		Replacing Late Gadolinium Enhancement With Artificial Intelligence Video Unavailable Vanessa Ferreira Oxford University