Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition • 09-14 May 2026

Power Pitch

Frontiers in Cardiovascular MR

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Frontiers in Cardiovascular MR
Power Pitch
Cardiovascular
Wednesday, 13 May 2026
Power Pitch Theatre 1
08:20 - 09:56
Moderators: Sebastian Kozerke & Esben Hansen
Session Number: 551-01
No CME/CE Credit
This session will showcase cutting-edge advancements in cardiovascular MRI, focusing on pulse sequence design, AI-based image reconstruction and processing and novel clinical applications. The session aims to provide a comprehensive overview of current breakthroughs and explore future trends in the cardiovascular MRI field.
Skill Level: Basic,Intermediate,Advanced

08:20 Figure 551-01-001.  Complex-harmonic cardiac cine MRI
Xinguo Fang, Lingceng Ma, Anthony Christodoulou
David Geffen School of Medicine at UCLA, Los Angeles, United States of America
Impact: The proposed framework enables both gated/segmented-like imaging and time-resolved (real-time-like) imaging within a single acquisition and reconstruction pipeline, capturing beat-to-beat cardiac variability and offering a promising solution for functional assessment in patients with arrhythmia or irregular heart rhythms.
08:22 Figure 551-01-002.  MB-SWIFT imaging of the mouse heart: Accelerated free-breathing non-gated 3-D functional assessment using k-space navigators
Iida Räty, Antti Aarnio, Mikko Nissi, Elias Ylä-Herttuala
University of Eastern Finland, Kuopio, Finland
Impact: This study introduces a rapid, high-resolution 3-D self-gated cardiac MRI technique for mice, enabling accurate functional assessment of all four heart chambers in under 2.5 minutes, without motion artefacts or electrocardiography electrodes, advancing preclinical cardiovascular imaging.
08:24 Figure 551-01-003.  9-fold accelerated breath-hold multicontrast bT1RESS for imaging of the great vessels, heart, and late gadolinium enhancement
Robert Edelman, SRIKANT Kamesh Iyer, Tess Wallace, Amit Pursnani, Ioannis Koktzoglou
Northwestern University Feinberg School of Medicine, Chicago, United States of America
Impact: Nine-fold accelerated breath-hold multicontrast bT1RESS enables efficient volumetric pre- and post-Gd evaluation of the great vessels, heart and late gadolinium enhancement with improved temporal and spatial resolution compared to standard CMR methods.
08:26 Figure 551-01-004.  AI-powered, One-Click CMR protocol: Complete Heart Acquisition in about 10 Minutes
Huihui Kong, Yinghui Le, Yi He
Capital Medical University Affiliated Beijing Friendship Hospital, Beijing, China
Impact: This AI-powered CMR protocol enables rapid, technologist-independent cardiac imaging, broadening access for patients and clinicians. It may inspire research on AI in other modalities and cost-effectiveness, facilitating widespread CMR adoption and improving diagnostic efficiency.
08:28 Figure 551-01-005.  Feasibility Of Handgrip-Valsalva Exercise CMR Protocol for Myocardium Characterization Under Inotropic Stress
Egidie Uwase, Maxime Caru, Charles-Olivier Loiselle, Franck Mahalatchimy, Agah Karakuzu, Nikola Stikov, Daniel Curnier, Delphine Perie-Curnier
Polytechnique Montréal, Montréal, Canada
Impact: Effective characterization of structural, functional, and mechanical changes under stress can facilitate early intervention of heart failure. Handgrip-Valsalva activity may offer a more practical and cost-efficient inotropic Ex-CMR protocol compared to the ergometer, which exacerbates motion-induced artifacts.
08:30 Figure 551-01-006.  Demonstration of automated cardiac MRI at 0.55T with high performance gradients
Ziwei Zhao, Ye Tian, Eric Peterson, Hadas Shiran, Bob Hu, Krishna Nayak, Juan Santos, William Overall
Vista AI, Inc., Palo Alto, United States of America
Impact: The prototype automated 0.55T CMR exam achieves clinically useful cardiac localizers, cine, LGE, and perfusion images. This may potentially fully reach an easy-to-use, automatic cardiac scan with lower costs, minimal operator intervention.
08:32 Figure 551-01-007.  First-order Motion-Compensated Readouts for 3D Radial PC-bSSFP 4D Flow MRI
Summa Cum Laude
Jacob Malich, Charles McGrath, Chang Yan, Sébastien Emery, Maximilian Fuetterer, Sebastian Kozerke
University and ETH Zürich, Zürich, Switzerland
Impact: First-order motion-compensated radial readouts effectively address signal loss, increasing the quality of 3D Radial PC-bSSFP 4D Flow MRI at lower field strength.
08:34 Figure 551-01-008.  Characterizing Cardiac Dynamics of Arrhythmic Patients with 3D+t CMR-MOTUS and Dynamic Mode Decomposition
Summa Cum Laude
Thomas Olausson, Maarten Terpstra, Casper Beijst, Rizwan Ahmad, Cornelis van den Berg, Alessandro Sbrizzi
University Medical Center Utrecht, Utrecht, Netherlands
Impact: This work demonstrates quantitative characterization of arrhythmic cardiac motion from free-running MRI (free-breathing, no ECG). The frequency-domain analysis of 3D motion fields enables objective assessment of beat-to-beat variability, potentially providing novel biomarkers for arrhythmia severity evaluation and treatment monitoring.
08:36 Figure 551-01-009.  Efficient imaging of myocardial scar and fat using AI-guided dual bright- and black-blood late gadolinium enhancement
Aurelien Bustin, Manuel Villegas-Martinez, Thaïs Génisson, Kalvin Narceau, Victor de Villedon de Naide, Théo Richard, Ewan Barel, Sane Viola, Victor Nogues, Pauline Gut, Edouard Gerbaud, Matthias Stuber, Hubert Cochet
Lausanne University Hospital (CHUV) and University of Lausanne (UNIL), Lausanne, Switzerland
Impact: SPOT-DIXON enables simultaneous, AI-guided quantification of myocardial scar, intra-cardiac fat, and extra-cardiac fat in a single acquisition, supporting evaluation of fat infiltration, lipomatous metaplasia, and scar-associated arrhythmic risk in ischemic and non-ischemic cardiomyopathies.
08:38 Figure 551-01-010.  TOF2FLOW – Generation of 4D Flow MRI angiography from Time-of-Flight MR angiography
Magna Cum Laude
Tamara Bianchessi, Chiara Trenti, Elin Good, Petter Dyverfeldt
Linköping University, Linköping, Sweden
Impact: Generation of volumetric flow images from TOF is feasible, it reduces scan time and preliminary results show that is able give insights into a possible atherosclerosis presence.
08:40 Figure 551-01-011.  A Comparison of Tissue Property Values Estimated using Conventional Cardiac MRF and MT-Cardiac MRF
Summa Cum Laude
Sydney Kaplan, Zexuan Liu, Jesse Hamilton, Shaihan Malik, Chaitanya Madamanchi, Venkatesh Murthy, Nicole Seiberlich
University of Michigan, Ann Arbor, United States of America
Impact: Incorporating MT modeling into cMRF reconstructions reduces MT-bias in myocardial T1 and T2 values, enables direct measurement of the bound pool fraction, and may facilitate non-contrast scar detection.
08:42 Figure 551-01-012.  On the Accuracy of Classical, Data-Driven and Physics-Informed Neural Networks for Pulse Wave Velocity Estimation
Pietro Dirix, Gloria Wolkerstorfer, Stefano Buoso, Sebastian Kozerke
University and ETH Zürich, Zürich, Switzerland
Impact: PINNs and NNs present improvements over classical PWV estimation methods as validated on realistic fluid mechanics informed synthetic datasets with known ground truth.
08:44 Figure 551-01-013.  Simulation and Evaluation of Joint Velocity-Acceleration Encoded 4D-Flow MRI
Charles McGrath, Carlos Castillo-Passi, Pablo Villacorta-Aylagas, Michael Loecher, Daniel Ennis
Stanford University, Stanford, United States of America
Impact: Current 4D-Flow based methods for pressure estimation are susceptible to noise and artifacts. Joint velocity+acceleration encoding schemes, namely 4D-FlowP, promise more robust pressure estimates. We take the first steps towards in-silico evaluation of this method.
08:46 Figure 551-01-014.  Deep Unrolled 2D Phase-contrast MRI Reconstruction with Cross Attention Transformer and Learnable Complex-difference Sparsity
Jing Zou, Zhongsen Li, Rui Li
Tsinghua University, Beijing, China
Impact: This study presents an efficient 2D PC-MRI reconstruction method, enhancing velocity quantification and reducing patient breath-hold time. It provides clinicians with more reliable hemodynamic assessment and establishing a new paradigm for integrating physics and deep learning in accelerated cardiovascular imaging.
08:48 Figure 551-01-015.  Accelerated 31P-MRSI measurements of chemical exchange rates in the leg and heart at 7T
Aaron Axford, Alice Conner, Ferenc Mozes, Damian Tyler, Ladislav Valkovič
Oxford Centre for Clinical MR Research (OCMR), University of Oxford, Oxford, United Kingdom
Impact: Existing techniques for measuring PCr-to-ATP and Pi-to-ATP exchange rates compromise between acquisition time, spatial resolution, and localization. The proposed ‘Concentric Ring Trajectory, four-angle saturation transfer’ method enables rapid, accurate 3D measurements suitable for in-vivo cardiac and skeletal muscle metabolism studies
08:50 Figure 551-01-016.  Pamplemousse: one-click multi-parametric and comprehensive assessment of myocardial injury
Thaïs Génisson, Kalvin Narceau, Théo Richard, Victor de Villedon de Naide, Ewan Barel, Edouard Gerbaud, Matthias Stuber, Hubert Cochet, Aurelien Bustin
IHU LIRYC, Heart Rhythm Disease Institute, Bordeaux, France
Impact: This work introduces a time-saving, “one-click” cardiac imaging sequence that leverages multi-parametric, co-registered images for the comprehensive assessment of myocardial injury. It enhances patient comfort by reducing breath-holds and shortening examination times, while also simplifying CMR procedures for medical professionals.
08:52 Figure 551-01-017.  4D bSSFP and 4D flow MRI to correlate motion with hemodynamics in aortic disease in Marfan patients
Daan Bosshardt, Renske Merton, Eric Schrauben, Roland van Kimmenade, Aart Nederveen, Moniek Cox, A Scholte, Danielle Robbers-Vissers, Maarten Groenink, Pim van Ooij
Amsterdam University Medical Center, University of Amsterdam, Amsterdam, Netherlands
Impact: 4D flow MRI-derived altered hemodynamics and 4D bSSFP-derived altered motion in the proximal descending aorta may have implications for type B dissections in Marfan patients that underwent root replacement surgery.

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