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

Digital Poster

Congenital Heart Disease, Valves, and Vessels

Back to the Program-at-a-Glance

Congenital Heart Disease, Valves, and Vessels
Digital Poster
Cardiovascular
Wednesday, 13 May 2026
Digital Posters Row A
13:40 - 14:35
Session Number: 560-03
No CME/CE Credit
New aspects in congenital heart disease and heart valve assessment

  Figure 560-03-001.  4D Flow MRI Reduces Scan Times and Improves Data Consistency in Patients with Total Cavopulmonary Connection (Fontan)
Pauline Pannenbecker, Sheena Chu, Felix Schön, James Rice, Dana Irrer, Oliver Wieben, Kevin Johnson, Alejandro Roldán-Alzate, Scott Reeder, Thekla Oechtering
University of Wisconsin - Madison, Madison, United States of America
Impact: 4D flow MRI significantly streamlines Fontan circulation assessment by reducing exam time and improving data quality. Its enhanced reliability and efficiency support broader clinical adoption, optimizing patient comfort and workflow in monitoring long-term complications after Fontan procedure.
  Figure 560-03-002.  Fast free breathing cine imaging with deep learning super-resolution reconstruction in congenital heart diseases
Limin Zhou, Kinsey Brassaw, Kathryn Dern, Kevin Moulin, Andrew Powell
Philips North America Clinical Science, Rochester, United States of America
Impact: Fast free-breathing cine imaging with super-resolution reconstruction enables faster, high-quality cardiac imaging without breath-holding. This approach may reduce the need for sedation and improve workflow and accessibility of CMR, especially in pediatric and complex CHD populations.
  Figure 560-03-003.  Dual inversion recovery for optimized MR lymphangiography in Fontan circulation vs heavily T2-weighted imaging
Yurie Shirai, Michinobu Nagao, Kazuo Kodaira, Masami Yoneyama, YASUHIRO GOTO, isao shiina, Mana Kato, Atsushi Yamamoto, Akihiro Inoue, Reiko Sakai, Kei Inai, Tomomi Kogiso, Shuji Sakai
Tokyo Women’s Medical University, Tokyo, Japan
Impact: DIRECTION lymphangiography offers a safe, noninvasive, and reproducible technique for high-resolution visualization of lymphatic congestion in Fontan patients, enabling clearer delineation of lymphatic pathways and providing new opportunities for comprehensive evaluation, improved diagnosis, and individualized treatment planning.
  Figure 560-03-004.  Integrated Anatomical-Hemodynamic Analysis in Bicuspid Aortic Valve
Charilaos Apostolidis, Ethan Johnson, Bradley Allen, Aggelos Katsaggelos, Michael Markl
Northwestern University, Chicago, United States of America
Impact: Automated co-registration of CE-MRA and 4D flow MRI enables spatially resolved analysis of anatomical-hemodynamic relationships in BAV aortopathy. This automated pipeline provides a framework to test whether integrated features improve risk prediction beyond current diameter-based criteria in longitudinal cohort studies.
  Figure 560-03-005.  Impact of water exchange on estimates of myocardial blood flow & ECV using DCE-MRI in patients treated for aortic stenosis
Alex Makins, John Biglands, Noor Sharrack, Peter Kellman, Sven Plein, David Buckley
Leeds Teaching Hospitals NHS Trust, Leeds, United Kingdom
Impact: Water exchange has negligible impact upon estimates of myocardial blood flow and extracellular volume fraction obtained using dynamic contrast-enhanced MRI even when relatively high doses of contrast agent are used.
  Figure 560-03-006.  Measurement of myocardial extracellular volume fraction and cardiomyocyte diameter before after aortic valve replacement
Noor Sharrack, Alex Makins, John Biglands, Peter Kellman, Sven Plein, David Buckley
University of Leeds, Leeds, United Kingdom
Impact: For the first time using contrast-enhanced MRI the intracellular lifetime of water, an index of cardiomyocyte diameter, has been shown to decrease following aortic valve replacement in patients with severe aortic stenosis.
  Figure 560-03-007.  Correlations Between Radiomic Features and Myocardial Strains Derived from Cardiac MRI in Repaired Tetralogy of Fallot
Hsiang-Yun Chang, Ming-Ting Wu, Teng-Yi Huang, Ken-Pen Weng, Hsu-Hsia Peng
Taiwan Power Company, New Taipei, Taiwan
Impact: The rTOF patients with advanced disease progression exhibited a globally homogeneous radiomic feature pattern with subtle local variations. The differential relationships between features and contractile function were shown in different disease progressions, with thresholds for PR, RV dilation, and function.
  Figure 560-03-008.  Achieving Whole-Heart CMR in a Single Breath-Hold with Deep Learning Super-Resolution
Yue Jiang, Mark Wrobel, Vivek Muthurangu, Jennifer Steeden
Centre for Translational Cardiovascular Imaging, University College London, London, United Kingdom
Impact: Our deep learning model enables single breath-hold whole-heart imaging with automated segmentation, achieving image quality and quantitative measurement accuracy comparable to conventional 3D high-resolution acquisitions, but in a clinically practical breath-hold of about 9 seconds.
  Figure 560-03-009.  Evaluating TFCE-based permutation tests for the patch-wise analysis of WSS maps in the ascending aorta
Chiara Trenti, Deneb Boito, Filip Hammaréus, Jennifer Habib, Marcus Lindenberger, Eva Swahn, Lena Jonasson, Bertil Wegmann, Petter Dyverfeldt
Linköping University, Linköping, Sweden
Impact: This study promotes the adoption of TFCE-based permutation test for the local analysis of WSS on the aortic wall. The study may encourage the use of TFCE-based permutation also for volumetric hemodynamic parameters derived from 4D Flow MRI.
  Figure 560-03-010.  Uncertainty-Guided Active Learning for Access Route Segmentation and Planning in Transcatheter Aortic Valve Implantation
Enrique Almar-Munoz, Mahdi Islam, Musarrat Tabassum, Christian Kremser, Markus Haltmeier, Agnes Mayr
Medical University of Innsbruck, Innsbruck, Austria
Impact: This work enables accurate, low-annotation CMR-based vascular assessment for TAVI, reducing dependence on CT and contrast agents while achieving precise vessel segmentation and diameter quantification through uncertainty-guided active learning, improving access route planning in patients with renal impairment.
  Figure 560-03-011.  2D and 4D Flow CMR versus Ultrasonic Cardiography in Assessing Mitral Regurgitation Severity
taihui yu, wei wu, jun shen, maohuan lin, Jun Peng
Sun Yat-Sen University Sun Yat-Sen Memorial Hospital, Guangzhou, China
Impact: Four-dimensional flow cardiac magnetic resonance (CMR) allows accurate, reproducible quantification of mitral regurgitation independent of left ventricular volume. This supports improved clinical decision-making, personalized intervention planning, and the development of advanced imaging approaches for complex or eccentric valvular disease.
  Figure 560-03-012.  Anatomy Derived Aortic Hemodynamics Using Physics-Informed Deep Learning: Multi-Site Cross-Vendor Validation
Ilham Essafri, Ethan Johnson, Haben Berhane, Takashi Fujiwara, Erin Englund, Sungho Park, Jochen Saucedo Gerstner, Bradley Allen, Michael Markl, Alex Barker
University of Colorado Anschutz Medical Campus, Aurora, United States of America
Impact: AI-inferred 4D Flow enables fast, anatomy-based estimation of aortic hemodynamics with strong agreement to in-vivo phase-contrast MRI. This approach could streamline flow quantification, reduce scan time, and expand access to functional cardiovascular imaging.
  Figure 560-03-013.  Exploring the Effect of Fontan Fenestration Size using Cardiovascular MRI, Catheterization, and Computational Fluid Dynamics
Mehdi Hedjazi Moghari, Sebastian Laudenschlager, Benjamin Frank, Jennifer Romanowicz, Yue-Hin Loke, Dhaval Chauhan, Nita Chaudhuri, Christopher Mascio, Jai Udassi, Vitaly Kheyfets
West Virginia University, Morgantown, United States of America
Impact: The computational identification of a patient-specific, optimal Fontan fenestration configuration holds the potential to aid surgical planning of the fenestrated Fontan procedure, ultimately aiming to enhance the hemodynamic outcomes of this complex cardiac surgery.
  Figure 560-03-014.  Radiomic Signatures of Structural Alterations in Fontan Patients
Yu-Chieh Wang, Ming-Ting Wu, Ken-Pen Weng, Hsu-Hsia Peng
National Tsing Hua University, Hsinchu, Taiwan
Impact: Radiomics analysis of CINE CMR images can detect microscopic myocardial differences in Fontan patients, and the selected features may serve as early biomarkers of myocardial dysfunction.
  Figure 560-03-015.  The Feasibility of Lung T2* Mapping for Pulmonary Status Monitoring in Pediatric Patients with Congenital Heart Disease
Sara Alhousseiny, Sukran Erdem, Mohammad Mehdi, Tarek Alsaied, Franz Greil, Tarique Hussain, Qing Zou
University of Texas Southwestern Medical Center, Dallas, United States of America
Impact: Pulmonary T2* mapping using 3D UTE sequence is feasible in pediatric CHD patients and offers a rapid, contrast-free MRI biomarker of altered pulmonary oxygenation and perfusion. This provides new insights into lung physiology and a potential tool for non-invasive monitoring.
  Figure 560-03-016.  A Preliminary Study on Myocardial Strain in Pediatric Left Ventricular Noncompaction Using CMR Feature Tracking
Baohan Zhao, Xin lei Zhang, Honglei Shang, Xin Zhao, Zhanqi Feng, Wenjia Wang, Qiuge Gao, Yuxin Li
The Third Affiliated Hospital of Zhengzhou University, Zhengzhou, China
Impact: This study enabled us to identify subclinical alterations in pediatric patients with LVNC and to discover that strain parameters can serve as more sensitive predictors of adverse cardiac events.

Back to the Program-at-a-Glance

© 2026 International Society for Magnetic Resonance in Medicine