Member-Initiated Symposium
Artificial Intelligence Enabling Cardiovascular Magnetic Resonance Imaging
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Session Sub-Topic: Artificial Intelligence Enabling Cardiovascular Magnetic Resonance Imaging
Member-Initiated Symposium
ORGANIZERS: René Botnar, Sonia Nielles-Vallespin, David Sosnovik
| Friday, 14 August 2020, 13:00 - 13:30 UTC | Moderators: René Botnar |
Watch the Session RecordingSession Number: MIS-23
Overview
This Symposium was proposed by the Cardiac MR study group. Artificial Intelligence (AI) is impacting cardiac magnetic resonance (CMR) applications from data acquisition all the way to clinical diagnosis. This session highlights a series of CMR applications which are being improved or even enabled by AI. In particular, quantitative perfusion, multi-contrast and multi-parametric mapping, foetal MRI, flow MRI, and low field MRI. Overall, the proposed symposium aims to provide a platform for a fertile discussion between clinicians and technical scientists to (1) give an overview of the fundamentals of such cutting-edge research developments, (2) critically review their current status, and (3) identify hurdles and opportunities for AI-enabled CMR to impact clinical use.
Target Audience
Every ISMRM member wishing to participate in a platform for discussion on cutting-edge research developments in Cardiac MRI.
Educational Objectives
As a result of attending this course, participants should be able to:
Upon completion of this course, participants should be able to: - Explain the impact that artificial intelligence can have on CMR, from data acquisition, through reconstruction and post-processing, to diagnosis; - Describe how AI is being used to improve or enable CMR applications currently; - Identify potential new applications for AI enabled CMR; and - Describe the future direction for AI enabled CMR.
| AI Enabled CMR
Peter Kellman
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| AI in Flow & Other CMR Applications
Ava Suinesiaputra
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| Democratizing Cardiac MRI Using AI-Enabled Low Field MRI
Adrienne Campbell-Washburn
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| Fast & Efficient Multiparametric & Multi-Contrast MRI: All in One
Claudia Prieto
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| Quantitative Perfusion Imaging: Technical Developments & Clinical Impact
Michael Salerno
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