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

2022 Joint Annual Meeting ISMRM-ESMRMB and 31st ISMRT Annual Meeting

Onsite Tutorial

Advanced Methods for Cardiovascular MRI

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Advanced Methods for Cardiovascular MRI
Onsite Tutorial
ORGANIZERS: Tobias Wech, Sila Kurugol
Sunday, 08 May 2022
ICC Capital Suite 10-11
12:30 -  16:30
Moderators: 
Advanced Models in CMRI: Bless and/or Curse?: Teresa Correia
Skill Level: Advanced
Session Number: ET-07
 

Session Number: ET-07

Overview
This course will review advanced techniques for MR-based investigations of the heart. Evolving approaches and emerging technologies to assessing cardiac disease will be summarized and discussed.

Target Audience
Attendees who have intermediate to advanced knowledge of methodology in cardiovascular MRI.

Educational Objectives
As a result of attending this course, participants should be able to:
- Summarize rapid acquisition strategies and corresponding reconstruction techniques for CMR;
- Estimate both potential and challenges of machine learning based image reconstruction; and
- Recognize emerging strategies to model and analyze motion.
 

    Challenging Nyquist
12:30   Compressed Sensing & Low-Rank Models

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Jennifer Steeden
Accelerated MRI techniques have transformed cardiovascular MR and have been investigated in many clinical applications during the last decade to speed up MRI scans. This talk introduces the key components of Compressed Sensing and Low-rank methods, and how these are implemented in MRI. Examples of clinical applications and current challenges of Compressed Sensing and Low-rank methods are discussed. 
13:00   Data-Driven Image Reconstruction

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Chen Qin
Machine Learning (ML) has shown great potential in improving the medical imaging workflow. Particularly, in recent years, there has been a significant growth in the use of ML algorithms, especially Deep Learning (DL), for medical image reconstruction. The use of DL-based image reconstruction provides promising opportunities to transform the way cardiovascular MRI is acquired and reconstructed. In this talk, we will introduce recent advances in DL-based reconstruction techniques for cardiac imaging, with emphasis on cardiac MRI reconstruction. We will mainly focus on supervised DL methods for the application and will also discuss about their current limitations, challenges and future opportunities.
    Advanced Models in CMRI: Bless and/or Curse?
13:30   Robustness of Deep Learning in Image Reconstruction

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Vegard Antun
We all know that artificial intelligence (AI) can do marvelous things and that it is currently being incorporated into many industries. Yet, modern AI has an Achilles heel: It seems universally non-robust. That is, it can be unstable to tiny perturbations or generalize in unpredictable ways, both of which can lead to AI generated hallucinations. In this tutorial, we will investigate the many reasons for instabilities, unpredictable generalization and hallucinations in AI based image reconstruction. Furthermore, we will provide guidance on how to reduce the issue of non-robustness and untrustworthy outputs in AI based image reconstruction.
14:00   Motion Modelling & Analysis in Cardiac MRI

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Stefano Buoso
The inference of local cardiac motion requires robust ways of analysing, integrating and processing patient data. Many models are available, both statistical and mechanistic, and they can be deployed to extract prognostic biomarkers from the data. The choice, however, usually falls on one or the other, and rarely both approaches are combined in a synergetic view. This talk will provide an overview on mechanistic models of cardiac motion and how these can be integrated with statistical models to overcome some of the limitations of current processing pipelines in medical images.

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The International Society for Magnetic Resonance in Medicine is accredited by the Accreditation Council for Continuing Medical Education to provide continuing medical education for physicians.