ISMRM22 - Cardiovascular MR with a Little Help from AI</span></div>

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

Cardiovascular MR with a Little Help from AI

Member-Initiated Tutorials

Tuesday, 10 May 2022

ICC Capital Hall 2

09:15 - 11:15

Moderators: Teresa Correia & Thomas Küstner

Session Number: MIT-01

Teresa Correia, and Thomas Kuestner.

Overview
Cardiovascular disease (CVD) is the leading single cause of morbidity and mortality worldwide. Therefore, improving prevention, diagnosis and treatment of CVD is a global priority. Cardiovascular magnetic resonance (CMR) has emerged as a clinically important technique for the assessment of cardiac anatomy, function, perfusion and viability. However, diversity and complexity of methods pose limitations to the widespread use of CMR, which has become even more evident with the recent developments in artificial intelligence (AI). In addition, questions are being raised about how AI will affect the role of clinicians working in CMR and its trustworthiness. Hence, it is necessary to bridge the gap between the clinical and scientific communities.
This 2-hour tutorial covers four topics of CMR in relation to AI-assisted analysis and processing:
1)CMR methods for identifying CVD
2) Conduction and planning of a complete CMR exam
3) Parametric mapping, functional imaging techniques and motion correction strategies
4) Image reconstruction and analysis methods
Topics 1+2 will provide a clinical background and indicate emerging AI solutions and raise the need for AI-assisted processing. Topics 3+4 cover state-of-the-art methods and current research developments with focus on recent advances in AI for CMR. The tutorial presents an AI-focused tutorial of the previously presented member initiated tutorial at ISMRM 2020 (ismrm-mit-cmr.github.io).

Target Audience
Physicians, radiographers, physicists, engineers, who wish to understand the role of AI in clinical CMR for acquisition, reconstruction and analysis.

Educational Objectives
As a result of attending this course, participants should be able to:
Understand basic cardiac anatomy, cardiovascular diseases, and its characterization by CMR and other diagnostic tools|Describe the basic CMR examination and recognize the advantages and limitations of the technique|Explain the basics of multi-multiparametric, quantitative imaging, and motion correction|Explain the basics of deep learning-based methods for AI-assisted CMR with focus on image reconstruction and quantitative analysis

	09:15		Clinical Cardiovascular MR: Artificial intelligence, Friend or Foe? Video Unavailable Tevfik Ismail King's College London, London, United Kingdom
	09:45		Scanning & Planning the Future of Cardiovascular MR Video Unavailable Wendy Strugnell Mater Hospital Brisbane, Queensland X-ray, Australia
	10:15		Can You & (A)I Learn the Physics Behind Cardiovascular MR? Video Unavailable Sebastian Weingärtner Delft University of Technology, Netherlands
	10:45		Deep Cardiovascular MR: Am (A)I Hallucinating? Video Unavailable Kerstin Hammernik Technical University of Munich, Germany