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

ISMRM & ISMRT 2025 Annual Meeting & Exhibition

Digital Poster

Novel Techniques in CMR

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Novel Techniques in CMR
Digital Poster
Cardiovascular
Wednesday, 14 May 2025
Exhibition Hall
14:30 -  15:30
Session Number: D-80
No CME/CE Credit

 
Computer Number: 1
3657. Reducing Bright Streaking Artefacts in SMS Free-Breathing MoCo LGE Imaging Using a Novel Center-Out k-Space Reordering with Fat Saturation
G. Kowalik, K. Kunze, F. Bosio, P. Speier, D. Staeb, R. Razavi, A. Chiribiri, S. Roujol
King's College London, London, United Kingdom
Impact: The novel block-based centric k-space reordering suitable for SMS bSSFP acquisitions enables efficient utilization of pre-pulses i.e. fat suppression. The presented work was done for LGE imaging; however, it can be applied in other cases that utilize SMS bSSFP sequences.
 
Computer Number: 2
3658. Deep-learning-enabled Approach to Automatically Eliminate Motion-induced Dark-rim Artifacts in Stress First-pass Perfusion CMRI
H. B. Unal, K. Youssef, A. Ahmed, K. Chow, X. Bi, L. Zamudio, D. M. Yalcinkaya, R. Mastouri, J. Wei, C. N. Bairey-Merz, R. Dharmakumar, B. Sharif
Purdue University, Indianapolis, United States
Impact: Proposed approach offers an effective solution to eliminate DRA in first-pass perfusion CMRI. It helps improving the diagnostic accuracy of visual and quantitative methods, and the inline implementation can easily be deployed in routine clinical studies with standard CMRI protocols.
 
Computer Number: 3
3659. Reconstruction of radial simultaneous multi-slice myocardial perfusion data with self-guided deep image prior
M. A. Istiak, J. Le, J. Mendes, A. Arai, R. Ranjan, E. DiBella, R-R Chen, G. Adluru
University of Utah, Salt Lake City, United States
Impact: The promising results will enable consistent image quality across all time frames, even in the presence of large respiratory and cardiac motion within the dynamic sequence.  This will allow for improved visual diagnosis as well as myocardial blood flow quantification.
 
Computer Number: 4
3660. Evaluation of background phase errors from eddy currents and mechanical oscillations in phase contrast magnetic resonance imaging
S. Thalén, M. Loecher, D. Ennis
Stanford University, Stanford, United States
Impact: The necessary correction for background phase errors depends on the VENCs, which explains why errors are protocol dependent.
 
Computer Number: 5
3661. Improved image quality in the Beat Mapping using a Convolutional Recurrent Neural Network (BeatMapCRNN)
X. Qian, A. Wang, Y. Fan, B. Liu, Y. Jin, X. Kong, P. Wu, H. Ding, R. Guo
Shool of Medical Technology, Beijing Institute of Technology, Beijing, China
Impact:

This study developed a convolutional recurrent neural network to alleviate noise artifacts in cardiac T1 and T2 mapping. Validation indicated that the proposed method could improve map quality for most used T1/T2 sequences without compromising accuracy or blurring lesions.

 
Computer Number: 6
3662. Inter-Frame distance metric-based Auto-Inversion-Time prediction for Cardiac MR
S. Banerjee, S. Chatterjee, G. Delso, S. Rajamani, M. Janich, D. Shanbhag
GE HealthCare, Bengaluru, India
Impact: Abstraction of time-series based TI scout data to a metric space and consequent Auto-TI prediction offers resilience to artifacts with a smaller footprint model, reduces training data variety needs, and offers explainability for prediction
 
Computer Number: 7
3663. Phase-dependent variation in cardiac metabolism assessed with hyperpolarized [1-13C]pyruvate
S-H Lin, C. Mozingo, C. Harrison, K. Derner, Z. Erfani, C. Malloy, J. M. Park
UT Southwestern Medical Center, Dallas, United States
Impact: By utilizing structural Cine images alongside heart rate records, a retrospectively reconstructing algorithm was developed for restoring the ideal input function despite the cardiac phases. This method enhanced the precision of cardiac MRS in HP MRI.
 
Computer Number: 8
3664. Super-Resolution Cardiac MR Tagging Using a Cascaded Conditional Diffusion-Based Generative Model
C. Sun, C. Thornburgh, N. Goyal, S. Kumar, R. Botnar, T. Altes
University of Missouri-Columbia, Columbia, United States
Impact: TagGen enables 10-fold accelerated, high-quality cardiac MR tagging, making accurate myocardial deformation assessment feasible within clinical workflows with greatly reduced scan time. This advancement broadens MR tagging accessibility and may enhance the detection of subtle heart motion abnormalities.
 
Computer Number: 9
3665. Additive effects of vertebral artery geometry deformation on VBA plaque vulnerability in hypertension: an HR-VWI study
J. Xia, C. Zhang, L. Mei, J. Lyu, X. Qu
the Second Hospital of Dalian Medical University, Dalian, China
Impact: Our findings concerning the additive effects of vertebral artery geometry deformation on vulnerable plaques in the basilar artery of hypertensive patients provide a basis for improved clinical management and comorbidity treatment strategies.
 
Computer Number: 10
3666. Preliminary findings from 4D-flow MRI on left heart hemodynamics in Chronic Obstructive Pulmonary Disease: The SPIROMICS Heart Failure Study
M. Shafeghat, D. Dushfunian, M. Markl, T. Houston, O. Wieben2, M. R. Prince, W. Shen, D. Bluemke, K. L. Buschur, M. C. Backman, S. R. Jambawalikar, B. Ambale Venkatesh, J. Lima, P. Agarwal, M. Han, S. Lloyd, J. P. Finn, I. Barjaktarevic, C. B. Cooper, J. Liu, J. Schroeder, R. Pain, D. W. Kitzman, J. Vogel-Claussen, R. G. Barr, J. Carr
Northwestern University Feinberg School of Medicine, Chicago, United States
Impact: Our findings emphasized using 4D-flow MRI as a noninvasive method for evaluating heart function in COPD patients. This opens new research into therapies targeting heart-lung interactions, improving outcomes that were previously unattainable.
 
Computer Number: 11
3667. Prediction of peak-to-peak pressure gradient in patients with aortic coarctation using PINNs from Magnetic Resonance Images
S. Jara, F. Galarce, H. Mella, R. Ñanculef, R. Salas, F. Sahli, P. Beerbaum, H. Grotenhuis, D. Marlevi, I. Valverde, S. Uribe, J. Sotelo
Universidad Técnica Federico Santa María, Valparaíso, Chile
Impact: This methodology demonstrates the potential of using PINN as a noninvasive alternative to catheterization to predict PGpp in patients with coarctation of the aorta. This method could significantly reduce the need for invasive procedures in the management of patients. 
 
Computer Number: 12
3668. How Low is Too Low? Optimizing VENC in 4D Flow MRI for the Portal Venous System
T. Naren, T. Oechtering, K. Johnson, S. Reeder, O. Wieben
University of Wisconsin-Madison, Madison, United States
Impact: Knowledge of optimal venc for portal venous acquisitions will reduce the need for velocity scout images for 4D flow acquisitions. Additionally, phase unwrapping may also facilitate analysis of higher velocity flow in the hepatic artery from the same datasets.
 
Computer Number: 13
3669. Improving Coronary Assessment in 3D Radial Cardiac MRI Using Self-Gating with K-Space Center Filtering, Motion Binning, and CS Reconstruction
M. Tagliabue, A. Mackowiak, L. Feng, E. Peper, J. Bastiaansen
Department of Diagnostic, Interventional and Pediatric Radiology (DIPR), Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
Impact: This work presents an approach for automatic respiratory motion detection and binning that improves motion compensation of whole-heart images. It provides sharper visualization of the coronaries compared with conventional methods, potentially aiding clinicians in more reliable diagnosis of coronary disease.
 
Computer Number: 14
3670. Equilibrium Phase Contrast-Enhanced MRA: Comparison of Novel Cartesian bT1RESS and Stack-of-Stars CM-FISS Imaging Strategies
R. Edelman, T. Wallace, R. Zi, I. Koktzoglou
NorthShore University HealthSystem, Evanston, United States
Impact: Equilibrium phase contrast-enhanced MRA using bT1RESS is a recently described paradigm-shifting approach for vascular imaging.  As a potential alternative to Cartesian bT1RESS, we implemented a radial stack-of-stars CM-FISS technique which provides improved fat suppression and reduced motion sensitivity.
 
Computer Number: 15
3671. Respiratory motion-corrected model-based 3D water-fat MRA at 0.55T
R. Stoll, C. Kolbitsch, M. Nickel, M. Schmidt, T. Schäffter, D. Giese
Technical University Berlin, Berlin, Germany
Impact: An MRA at 0.55T covering the entire thorax, allowing water/fat separation without navigator artefacts can be achieved in a predictable time of 5 minutes.
 
Computer Number: 16
3672. Gadolinium-based contrast agent and stimulated echo acquisition mode cardiac diffusion-weighted imaging: preliminary results
S. Tsuneta, S. Aono, J. Kwon, M. Yoneyama, H. Uehara, T. Aoike, S. Takenaka, H. Koyano, N. Fujima, T. Nagai, T. Anzai, K. Minowa, K. Kudo
Hokkaido University Hospital, Sapporo, Japan
Impact: Although the signal intensity of stimulated echo acquisition mode (STEAM) and the precision of apparent diffusion coefficient (ADC) were reduced with gadolinium-based contrast agent (Gd), STEAM diffusion-weighted imaging after Gd injection might be feasible regarding the calculation of mean ADC.
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