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

Digital Poster

Acquisition and Reconstruction Strategies for Dynamic and Cardiac Imaging

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Acquisition and Reconstruction Strategies for Dynamic and Cardiac Imaging
Digital Poster
Acquisition & Reconstruction
Tuesday, 12 May 2026
Digital Posters Row I
16:55 - 17:50
Session Number: 468-06
No CME/CE Credit
This digital poster session focuses on acquisition and reconstruction strategies for dynamic imaging.

  Figure 468-06-001.  Simultaneous multi-Slice Cardiac Cine and T₁/T₂ Mappings using Cine-Referenced Dynamic SMS
Junpu Hu, Ne Yang, Qi Liu, Yichen Hu, Rui Guo, Vlad Zaha, Tarique Hussain, Qing Zou
University of Texas Southwestern Medical Center, Dallas, United States of America
Impact: A novel cardiac MRI method integrates multi-slice cine imaging with inline T₁ and T₂ mapping using cine-referenced dynamic SMS, enabling accurate, efficient myocardial tissue characterization and functional assessment in a single breath-hold without separate reference scans.
  Figure 468-06-002.  High-Resolution Cardiac Late Gadolinium Enhancement Imaging at 5.0T: A Feasibility Study
Keting Xu, Yu-bo Guo, Lu Lin, Ke Xue, Peng Hu, Ye Li, Yanjie Zhu, Feng Feng, Yining Wang
State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College. Address: No.1, Shuaifuyuan, Dongcheng District, Beijing 100730, China
Impact: This study enables sub-millimeter LGE at 5.0T, empowering clinicians to detect subtle lesions with greater confidence. It confirms the system's viability and prompts future work on protocol optimization for routine clinical use.
  Figure 468-06-003.  Improved spiral real-time cardiac imaging using de-aliasing network with transformer architecture
Ahsan Javed, Rajiv Ramasawmy, Pierre Daudé, Jordan Taylor, Peter Kellman, Adrienne Campbell-Washburn
National Institutes of Health, Bethesda, United States of America
Impact: Higher spatial and temporal resolution real-time cardiac imaging will support MR-guided interventions and improved diagnostic imaging in patients with arrhythmia.
  Figure 468-06-004.  Fast Radial Cine MRI with View Sharing and ML Regridding
Beatrice Villata, Rabea Klaar, Johanna Topalis, Moritz Rabe, Christopher Kurz, Guillaume Landry, Michael Ingrisch, Olaf Dietrich
Bavarian Cancer Research Center (BZKF), Munich, Germany
Impact: For low-latency real-time low-field cine MRI, we investigate the combination of a machine learning reconstruction with a fractional view-sharing frame-combination pipeline for highly undersampled imaging at MRI-linacs, demonstrating improved image quality while preserving temporal fidelity and reconstruction time.
  Figure 468-06-005.  An End-to-End Neural Network for Establishing Left-Ventricular Volume from Sparse Cine Slices
Yu Lian, Bowei Liu, Ancong Wang, Yingwei Fan, Peng Wu, Haiying Ding, Xiaoying Tang, Rui Guo
Beijing Institute of Technology, Beijing, China
Impact: Left-ventricle (LV) volume can be reconstructed from several sparse segmented Cine MRI slices using a deep-learning approach. LV function estimates from the reconstructed model showed good agreement with reference values, suggesting that cine imaging can be shortened.
  Figure 468-06-006.  Concentric-stack SMS for slice-synchronized time-resolved CINE MRI
Lingceng Ma, Mana Jameie, Dan Ruan, Kim-Lien Nguyen, Anthony Christodoulou
David Geffen School of Medicine, University of California Los Angeles, Los Angeles, United States of America
Impact: A method for acquiring and reconciling separate SMS stacks of time-resolved CINEs can enable globally synchronized ejection fraction analysis, benefiting the assessment of cardiac function in patients for whom segmented, ECG-gated cine is not preferred.
  Figure 468-06-007.  Accelerating 2D Radial Cardiac MRI: Fully Polar-Based Compressed Sensing with Spatially Variable Temporal-TV
Vahid Ghodrati, Victor Casula, Andreas Hauptmann, Miika T Nieminen, Timo Liimatainen
University of Oulu, Oulu, Finland
Impact: The fully polar-based compressed sensing (CS) approach incorporates spatially variable weights for temporal total variation (TV) in radial cardiac MRI reconstruction, leading to reduced regularization in the cardiac region. Sharper myocardium reconstructions may improve diagnostics in accelerated 2D radial MRI.
  Figure 468-06-008.  Automatic 3D Multi-View Planning for Cardiac MRI: Standardization Across Operator Experience Levels
Michinobu Nagao, Masami Yoneyama, Yogesh k Mariappan, Viswanath Pamulakanty Sudarshan, Suthambhara Nagaraj, Vineeth VS, Shuji Sakai
Tokyo Women’s Medical University, Tokyo, Japan
Impact: Automatic 3D multi-view planning enables consistent, operator-independent cardiac MR examinations, reducing scan time and improving workflow efficiency, which may facilitate broader clinical adoption of cardiac MRI.
  Figure 468-06-009.  Comparison of Spin and Gradient Echo Encoding Strategies for Low-Velocity Phase Contrast MRI on a Head-Only Scanner
Brock Jolicoeur, Tomas Vikner, Kevin Johnson
University of Wisconsin - Madison, Madison, United States of America
Impact: This work demonstrates that gradient echo (GRE) EPI enables improved visualization and quantification of low-velocity CSF flow on a high-performance head-only system. These findings establish a foundation for quantification of slow physiologic motion and optimization of future low-velocity PC-MRI protocols.
  Figure 468-06-010.  Reduction of stimulated echo artifacts with modified trajectories in radial dual Venc 4D Flow MRI without gradient spoiling
Adrian Duckert, Susanne Schnell, Ann-Christin Klemenz, Chris Lappe, Ali El Ahmar, Marc-André Weber, Patrick Winter
University Medical Centre Rostock, Rostock, Germany
Impact: By varying the trajectory in the velocity encoding direction of radial 4D-Flow MRI, gradient-free spoiling can be achieved without obtaining artifacts. This paves the way for lower repetition times and, consequently, higher temporal resolution, thereby enhancing diagnostic accuracy.
  Figure 468-06-011.  Model-Based 4D CMR Reconstructions using Neural Fields and Tensor Product Expansions
Ray Sheombarsing, Max H.C. van Riel, David G.J. Heesterbeek, Cornelis van den Berg, Alessandro Sbrizzi
UMC Utrecht, Utrecht, Netherlands
Impact: 
Our framework enables accurate 3D and 4D CMR reconstructions at high acceleration rates by replacing discrete image representations with continuous ones. This methodology unlocks flexible sampling strategies paving the way for faster, more robust cardiac imaging—especially in challenging 4D settings.
  Figure 468-06-012.  ZTE-STAR: Dynamic Zero-TE imaging with a 3D Spiral-Phyllotaxis Trajectory using Temporal TV and Algebraic Dead-Time Filling
Naoto Fujita, Tomokazu Tsurugizawa, Yasuhiko Terada
The University of Tsukuba, Tsukuba, Japan
Impact: Proposed framework, ZTE-STAR establishes a robust method for dynamic ZTE imaging, offering flexible temporal resolution and high motion tolerance. It overcomes limitations of conventional radial methods, providing a technical foundation for reliably depicting target dynamics in challenging applications.
  Figure 468-06-013.  Single-shot 2D Radial Echo Planar Time-Resolved Imaging
Christoph Rettenmeier, Krystalyn Edwards-Calma, Kai Tobias Block, Victor Stenger
University of Hawaii, Honolulu, United States of America
Impact: This ss-rEPI approach enables ultra-fast, distortion-free multi-parametric brain mapping with potential implications for quantitative fMRI and clinical neuroimaging in general.
  Figure 468-06-014.  Visualizing Dynamic TMJ Movement Using T2-live MRI
Shiman Wu, Jiahao Gao, yue gao, zhe feng, Zhiwei Qin, Shaofeng Duan, Kan Wang, Huidong Shi, Chanchan Li, Zhenwei Yao, YAN REN
Hushan Hospital, Fudan University, Shanghai, China
Impact: T2-weighted live MRI captures real-time TMJ disc motion without a mouth prop, revealing disc-condyle coordination. It improves diagnostic accuracy, reduces discomfort, and directly informs treatment decisions for both conservative and surgical interventions.
  Figure 468-06-015.  MIC: Automatic Motion-Informed Coil Selection For Speech Real-Time MRI
Nyvenn da Mota Alves de Castro , David Leitão, Andreas Maier, Jana Hutter, Paula Andrea Perez-Toro
University Hospital Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Erlangen, Germany
Impact: Automatic motion-informed coil selection accelerates real-time MRI reconstruction while improving visualization of articulatory motion. The proposed method enhances speech MRI efficiency, enabling wider deployment of high-quality dynamic imaging in speech research and clinical evaluation of articulatory disorders.
  Figure 468-06-016.  Capturing fast speech articulations with real-time MRI using radial sequences with uniform angular spacing
Andrew Phair, Michael Ferraro, Michael Proctor, Kirrie Ballard, Tuende Szalay, Tharinda Piyadasa, Naeim Sanaei, Amelia Gully, Sheryl Foster, Craig Jin, David Waddington
The University of Sydney, Sydney, Australia
Impact: This framework enables real-time investigation of speech articulation on standard clinical MRI scanners with product sequences, broadening access to dynamic speech imaging. It allows researchers to study rapid articulations, supporting clinical research into communication disorders and therapy outcomes.

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