Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition - Cardiovascular Imaging and Motion Correction Strategies

Cardiovascular Imaging and Motion Correction Strategies

Digital Poster

Cardiovascular

Tuesday, 12 May 2026

Digital Posters Row H

14:35 - 15:30

Session Number: 467-04

No CME/CE Credit

Similar Sessions

To demosntrate recent motion correction strategies for cardiac MRI

Skill Level: Intermediate

		467-04-001. 3D myocardial LGE imaging in under 4 minutes using a self-supervised deep learning-based motion compensated reconstruction Daniel Amsel, Robert Stoll, Jens Wetzl, Daniel Giese, Majd Helo, Marcel Dominik Nickel, Michaela Schmidt, Jens Kübler, Andreas Lingg, Patrick Krumm, Thomas Küstner University Hospital Tuebingen, Tuebingen, Germany Impact: High-resolution 3D LGE with short, predictable scan times is achieved. In patient data, myocardial scarring is confirmed using 2D LGE. The proposed method enables rapid 3D LGE as a potential alternative to conventional 2D imaging.
		467-04-002. Unsupervised Patch-Based Cardiac Cine MRI Reconstruction Using Learnable Tensor Function with Implicit Neural Representation Yuanbiao Yang, Yuanyuan Liu, Jing Cheng, Zhuoxu Cui, Qingyong Zhu, Congcong Liu, Yuliang zhu, Jingran Xu, Hairong Zheng, Dong Liang, Yining Wang, Yanjie Zhu Paul C. Lauterbur Research Center for Biomedical Imaging, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China Impact: This framework shows strong potential for faster and more reliable dynamic cardiac MRI in clinical applications.
		467-04-003. ESPIRiT guided Implicit Neural Representations with Multi-Resolution Hash Encoding for Self-supervised Cardiac Cine MRI Recon Terrence Jao, Shreyas Vasanawala, Ali Syed Stanford University, Stanford, United States of America Impact: Fast INR-based reconstructions enable shorter breath-holds, making cardiac CINE feasible for patients with limited breath-holding capacity or difficulty following instructions, without needing fully-sampled ground truth training data.
		467-04-004. FID-self-navigation to track physiological motion with high temporal resolution in 3D radial MRI of the heart Matteo Tagliabue, Tina Salvisberg, Berk Can Acikgoz, Nils Plähn, Eva Peper, Joseph Woods, Jessica Bastiaansen Swiss Institute for Translational and Entrepreneurial Medicine, Bern, Switzerland Impact: This work demonstrates the use of an FID readout for physiological motion extraction at high temporal resolution, enabling motion-resolved free-breathing cardiac MRI without external sensors, thereby improving motion-robustness of free-breathing scans.
		467-04-005. S³-MUSIC: Physics-guided Self-Supervised 4D Ferumoxytol-based Steady-State Cardiac MRI Reconstruction with 32× Acceleration Jun Lyu, Shu-Fu Shih, Sile Wang, Yuxiao Wu, Takegawa Yoshida, Fei Han, Ning Jin, Xiaoming Bi, Arash Bedayat, Kim-Lien Nguyen, J. Paul Finn, Xiaodong Zhong David Geffen School of Medicine at UCLA, Los Angeles, United States of America Impact: 4D multiphase steady-state imaging with ferumoxytol-enhancement reconstructed via a self-supervised spatiotemporal deep learning model (S³-MUSIC) enabled highly accelerated cardiac imaging (up to 32×) with preserved image fidelity. The framework can advance efficient and reliable ferumoxytol-enhanced MR angiography and cardiac MRI.
		467-04-006. 2D radial self-navigation for free-breathing wideband 3D stack-of-stars LGE in patients with an ICD: rotating vs. fixed view KyungPyo Hong, Jonathan Louis, Daniel Lee, Li Feng, Ryan Brown, Daniel Sodickson, Albert Lin, Bradley Knight, Daniel Kim Northwestern University Feinberg School of Medicine, Chicago, United States of America Impact: Wideband 3D-isotropic stack-of-stars LGE with 2D radial self-navigation using fixed-view angles enhanced image quality compared with that using continuously rotating-view angles, while improving image reconstruction efficiency, enabling faster and more practical LGE imaging in patients with implantable cardioverter-defibrillators.
		467-04-007. Real-time Tiny Golden Angle Phase Contrast using bSSFP (PC-SSFP) and model consistency condition (MOCCO) Reconstruction Jie Xiang, Julia Velikina, Alexey Samsonov, Wonil Lee, Paul Han, Chao Ma, Jeremy Steele, Dana Peters Yale University, New Haven, United States of America Impact: Real-time PC-SSFP with MOCCO reconstruction offers high-SNR, free-breathing flow imaging with accurate visualization of E/A filling patterns, providing a promising approach for robust and rapid assessment of diastolic function in clinical cardiac MRI.
		467-04-008. Respiratory and Cardiac Self-navigated Free-Breathing Fatty Acid Composition MRI of Human Epicardial Adipose Tissue Anshul Pundhir, John Echols, Thomas Skacel, Shuo Wang, Amit Patel, Frederick Epstein University of Virginia, Charlottesville, United States of America Impact: Self-navigated motion-resolved free-breathing radial MRI enabled reliable, high-resolution EAT FAC quantification without breath-holding. These methods promise to facilitate the investigation of EAT composition in cardiovascular disease.
		467-04-009. Improved Sharpness and Quality in Dyspnea and Arrhythmia by Free Breathing Compressed Sensing Single-Shot MOCO Averaged LGE Wolfgang Rehwald, Céleste Chevalier, David Wendell, Stephen Darty, Kayla Morabito, Sherilyn Pirela, Jennifer Shelton, Susan Bender, Nestor Mena, George Gamoneda, Kimberly Morris, William Lester, Nicholas Forgy , Julie Swanson, Kristel DeHart, Han Kim, Michele Parker, Raymond Kim Siemens Medical Solutions, USA, Inc., Malvern, Pennsylvania, United States of America Impact: Leveraging the speed and SNR of compressed sensing, our free breathing MOCO averaged delayed enhancement (LGE) technique allows dyspneic and arrhythmic patients to experience image sharpness and quality previously reserved for segmented breath held imaging, thereby clinically benefiting these patients.
		467-04-010. Evaluation of Quantitative High-Resolution Spiral First-Pass Perfusion Imaging Using Motion-Corrected Subspace Reconstruction Quan Chen, Junyu Wang, Xitong Wang, Shen Zhao, Sizhuo Liu, Yang Yang, Michael Salerno University Of California, San Francisco (UCSF), United States of America Impact: Subspace-MOCO yielded high-fidelity quantitative perfusion values consistent with reference measurements, along with enhanced image sharpness and clear myocardial delineation.
		467-04-011. Free-breathing fast 3D whole-heart cardiac CEST imaging at 3T Chushu Shen, Hsu-Lei Lee, Yunfan Zou, Kexin Wang, Anthony Christodoulou, Kim-Lien Nguyen, Hsin-Jung Yang, Yibin Xie, Debiao Li Cedars-Sinai Medical Center, Los Angeles, United States of America Impact: A whole-heart 3D cardiac CEST approach that delivers high-quality creatine/phosphocreatine mapping within 9 minutes is demonstrated. This capability broadens the clinical and research use of metabolic cardiac imaging for disease characterization, therapy monitoring, facilitating free-breathing, robust and motion-resolved acquisition.
		467-04-012. Computationally efficient respiratory motion-informed reconstruction for 4D flow MRI Luuk Jacobs, Pietro Dirix, Sebastian Kozerke Institute for Biomedical Engineering, University and ETH Zurich, Zurich, Switzerland Impact: We propose a deep learning-based 4D flow MRI reconstruction framework, running on commodity CPU/GPU hardware, that incorporates respiratory motion to improve velocity quantification for highly accelerated aortic 4D flow MRI.
		467-04-013. 3D radial 4D flow MRI with rigid motion detection and correction Luc de Ruiter, Reagan Tompkins, Pim van Ooij, Eric Schrauben Amsterdam University Medical Center, University of Amsterdam, Amsterdam, Netherlands Impact: This study combines a 3D radial 4D flow acquisition with eddy current corrections and rigid motion detection and correction, allowing motion- and undersampling-robust imaging that may improve fetal 4D flow MRI acquisitions for early detection of congenital heart disease.
		467-04-014. Free-breathing cardiac T1 mapping using frequency-modulated continuous-wave radar for prospective respiratory tracking Juncen Wu, Jiameng Diao, Zijian Zhou, Yuan Feng, Yining Wang, Peng Hu ShanghaiTech University, Shanghai, China Impact: Our approach enables free-breathing cardiac T1 mapping via contact-free radar slice-tracking, which improves subject comfort, scan throughput, and reproducibility.
		467-04-015. Cardiac triggering based on ultrasound sensor signals Bruno Madore, Michael Jerosch-Herold, Jr-Yuan George Chiou, Georgeta Mihai Brigham and Women's Hospital, Boston, United States of America Impact: The proposed ultrasound sensor system was validated at 3T for its ability to provide reliable cardiac gating signals. This system is expected to be particularly helpful in situations where electrocardiograms are not available, such as in high-field environments.
		467-04-016. Automatic Coil Movement Detection and Triggering Prescan Reacquisition Using 3D Hall Sensor Li Yang, Jin Qiang He, Wei Ling Li Magnetic resonance, Siemens Shenzhen Magnetic Resonance Ltd., Shenzhen, China Impact: This work enables detection of coil position changes caused by, e.g., operator adjustment or patient motion, using 3D Hall sensor, triggering prescan data reacquisition to prevent image artifacts from incorrect prescan data. It guarantees consistent image quality for clinical diagnosis.