ISMRM25 - Laying the Foundations of Cardiovascular MRI

ISMRM & ISMRT Annual Meeting & Exhibition • 10-15 May 2025 • Honolulu, Hawai'i

Laying the Foundations of Cardiovascular MRI

Weekend Course

ORGANIZERS: Michael Atalay, Teresa Correia, Tarique Hussain, Christopher Nguyen, Hajime Sakuma, Petronella Samuels, Andrew Scott, Tobias Wech

Sunday, 11 May 2025

313C

13:15 - 15:15

Moderators: Tim Leiner & Michael Salerno

Skill Level: Basic to Intermediate

Session Number: WE-25

No CME/CE Credit

Session Number: WE-25

Overview
This tutorial combines a series of 3 weekday lectures (1 weekday session, 2 hours) with 3 hands-on sunrise sessions (3 x 1 hour) to provide practical demonstrations of key concepts of cardiovascular MRI, including 1) clinical protocols for identifying cardiovascular disease, 2) accelerated acquisition strategies and corresponding reconstruction techniques, 3) automated post-processing and reporting workflows. This tutorial will also introduce the basics of machine learning and provide practical examples of how these are used in cardiovascular MRI.

Weekday lectures:
1. Acquisition: Protocols and Planning I (25min) and hands-on sunrise session teaser (10min)
2. Reconstruction: Faster and Better scans I (25min) and hands-on sunrise session teaser (10min)
3. Post-processing & Analysis: Faster and Automated workflows I (25min) and hands-on sunrise session teaser (10min)
4. Panel discussion (15min)

Sunrise sessions:
1. Acquisition: Protocols and Planning II (60min)
2. Reconstruction: Faster and Better scans II (60min)
3. Post-processing & Analysis: Faster and Automated workflows II (60min)

Target Audience
This tutorial is for physicians, radiographers, physicists, and engineers who want to learn about the main applications of cardiovascular MRI, how images are acquired, reconstructed, processed and analysed. It is suitable for beginners and also for those who want to brush up on their knowledge or explore advanced topics in cardiovascular MRI.

Educational Objectives
As a result of attending this course, participants should be able to:
• Describe the basic cardiovascular MRI protocols;
• Explain the basics of deep learning-based methods for accelerating cardiovascular MRI scans; and
• Summarize strategies and workflows for automated post-processing and reporting.

13:15		Acquisition: Protocols & Planning I View Presentation Video Tevfik Ismail Impact: This session provides an overview of how basic CMR images are planned and acquired and how these can be used to leverage the multiparametric capabilities of the technique to build more complex protocols to answer focussed clinical questions.
13:45		Acquisition: Protocols & Planning II Wendy Strugnell
13:50		Reconstruction: Faster & Better Scans I View Presentation Video Teo Lynette Impact: Clinical perspective on how compressed sensing and artificial intelligence-based reconstructions can fit into clinical cardiac MRI workflow and the importance of user engagement and addressing their concerns.
14:20		Reconstruction: Faster & Better Scans II View Presentation Video Thomas Küstner Impact: In deep learning for MR image reconstruction, regularization terms are learned and approximated by neural networks. Image enhancement, direct mapping, physics-based unrolling and distribution-based methods will be presented and discussed.
14:25		Post-Processing & Analysis: Faster & Automated Workflows I × Video Permission Withheld Deborah Kwon Impact: In this talk, you will be walked through the daily reality of clinical CMR interpretation—and why your innovations in post-processing and automation aren’t just nice-to-have… they’re mission critical to catalyze CMR utilization to expand advanced care for all patients.
14:55		Post-processing & Analysis: Faster & Automated Workflows II View Presentation Video Chengyan Wang Impact: Foundation models are transforming cardiovascular imaging by enhancing cardiac MRI analysis. Leveraging deep learning and large datasets, they reduce clinician cognitive load. This presentation outlines the foundational principles behind these models.
15:00		Panel Discussion and Q&A Michael Salerno, Julia Schnabel