Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition

Perfusion and Coronary Assessment

Oral

Cardiovascular

Wednesday, 13 May 2026

Meeting Room 2.60

16:00 - 17:50

Moderators: Merlin Fair

Session Number: 530-04

No CME/CE Credit

Similar Sessions

New Techniquess for perfusion and coronary imaging

Skill Level: Intermediate

16:00		530-04-001. High Resolution First-Pass Myocardial Perfusion Cardiac MRI Tess Wallace, Manuel Morales, Alexander Schulz, Amine Amyar, Patrick Pierce, Scott Johnson, Nicole C.Y. Deng, Kelvin Chow, Peter Kellman, Xiaoming Bi, Reza Nezafat Siemens Medical Solutions USA, Inc, Chicago, United States of America Impact: High-resolution myocardial perfusion imaging can be achieved with deep learning based denoising and resolution enhancement, without compromising temporal resolution or slice coverage. This approach requires no pulse sequence modifications or network retraining, and inline reconstruction facilitates integration into clinical workflows.
16:11		530-04-002. Self-supervised deep learning reconstruction with k-space motion correction for accelerated First-Pass Perfusion Cardiac MRI Elisa Moya-Sáez, Elena Martín-González, Rosa Menchón-Lara, Javier Sánchez-González, Carlos Real, Carlos Galán-Arriola, Rita Nunes, Borja Ibañez, Carlos Alberola-López, Teresa Correia Image Processing Laboratory, Universidad de Valladolid, Valladolid, Spain Impact: The proposed deep learning method enables high-quality respiratory motion-corrected reconstructions from free-breathing first-pass perfusion cardiac MRI acquisitions at high acceleration factors (up to 20x), without the need for fully-sampled reference data, outperforming existing self-supervised techniques.
16:22		530-04-003. Ultrashort Echo Time Myocardial Arterial Spin Labeling with a Motion-Resolved Patch Low-Rank Reconstruction in Mice at 9.4T Thomas Skacel, Julia Bresticker, Frederick Epstein University of Virginia, Charlottesville, United States of America Impact: This ASL method will enable efficient assessment of myocardial perfusion in mice with reduced MBF variability, and will facilitate discovery of mechanisms underlying impaired perfusion and evaluation of novel therapies for heart disease.
16:33		530-04-004. Towards Continuous Intra-Arterial Spin Labeling for Quantitative Myocardial Perfusion Mapping Felix Spreter, Alexander Maier, Michael Bock, Simon Reiss University Medical Center Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany Impact: The proposed intra-arterial spin labeling implementation makes use of continuous saturation through a catheter mounted RF-coil inside a coronary artery. In combination with the flow calculations this allows for quantitative perfusion mapping in the myocardium during an MR-guided intervention.
16:44		530-04-005. Dynamic Fractional Myocardial Blood Volume Mapping Using MR Multitasking with Latent-Space Dose Harmonization Thomas Coudert, Mostafa Mahmoudi, Arutyun Pogosyan, Zhengyang Ming, J. Paul Finn, Anthony Christodoulou, Kim-Lien Nguyen David Geffen School of Medicine at UCLA and VA Greater Los Angeles Healthcare System, Los Angeles, United States of America Impact: Fractional myocardial blood volume mapping using ferumoxytol-enhanced Multitasking enables free-breathing, motion-resolved, and dynamic myocardial perfusion quantification without ECG gating or pharmacologic stress. This framework simplifies acquisition and registration, offering patient-friendly MRI for assessment of myocardial health and ischemic disease.
16:55		530-04-006. Quantitative 3D Cardiac Perfusion MRI with Isotropic Spatial Resolution using GRASP-Pro Lexiaozi Fan, Oluyemi Aboyewa, KyungPyo Hong, Daniel Lee, William Muller, Li Feng, Daniel Kim Northwestern University Feinberg School of Medicine, Chicago, United States of America Impact: This study demonstrated our 3D cardiac perfusion pulse sequence with isotropic spatial resolution (2 mm³) is capable of producing high image quality and relatively accurate myocardial blood flow (MBF) for evaluation of myocardial ischemia.
17:06		530-04-007. Generative Multitasking using Implicit Neural Representations for 3D Dynamic Contrast Enhanced Cardiac Imaging Xi Chen, Xinguo Fang, Zheyuan Hu, Kim-Lien Nguyen, Anthony Christodoulou David Geffen School of Medicine at UCLA, Los Angeles, United States of America Impact: We extended the generative Multitasking framework for dynamic contrast enhanced (DCE) imaging, which can potentially enable free-breathing, non-ECG, 3D whole-ventricle cardiac-resolved DCE imaging. This method also has the potential to be extended to DCE imaging in other moving organs.
17:17		530-04-008. 3.0T Non-enhanced CMRA for Coronary Plaque Evaluation and Severe Stenosis Detection: Comparison with PCCT-CCTA Yujia Gao, Junye Yao, Song Luo Geriatric Hospital of Nanjing Medical University, Nanjing, China Impact: 3.0 T non-enhanced CMRA demonstrates robust diagnostic accuracy in evaluating severe coronary stenosis, maintaining high specificity and diagnostic value even in mixed or heavily calcified lesions, supporting its use as a radiation- and contrast-free alternative to PCCT angiography.
17:28		530-04-009. Densely-Binned Coronary MRA based on Unsupervised One-Stop Motion-Corrected Reconstruction Fan Yang, Lan Lan, Zhihao Xue, Haiyang Chen, Chenhao Gao, Haibo Xu, Chenxi Hu National Engineering Research Center of Advanced Magnetic Resonance Technologies for Diagnosis and Therapy (NERC-AMRT), Shanghai Jiao Tong University, Shanghai 200240, China Impact: The proposed one-stop MCR framework addresses a long-time technical bottleneck, and has the potential to improve the clinical usability and robustness of self-navigator CMRA.
17:39		530-04-010. Guided Discussion Merlin Fair Universidad Nacional Autonoma de Mexico, Queretaro, Mexico