ISMRM25 - Motion-Robust Cardiac/Abdominal Imaging

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

Motion-Robust Cardiac/Abdominal Imaging

Digital Poster

Acquisition & Reconstruction

Thursday, 15 May 2025

Exhibition Hall

14:15 - 15:15

Session Number: D-12

No CME/CE Credit

		Computer Number: 1 4586. Free-breathing respiratory-resolved 3D Lung Vasculature MRI at 0.55T with non-rigid motion-corrected reconstruction View Presentation Video P. Pino, C. Prieto, R. Botnar iHEALTH - Millennium Institute for Intelligent Healthcare Engineering, Santiago, Chile Impact: 3D respiratory-resolved lung images at 0.55T may enable diagnostic capabilities across respiratory phases.
		Computer Number: 2 4587. Towards real-time bulk-motion detection in cardiac MRI View Presentation Video M. Mueller, L. Romanin, C. Roy, R. Ferincz, M. Stuber Siemens Healthineers, Lausanne, Switzerland Impact: When implemented inline on the MRI scanner, the proposed bulk-motion detection framework can prevent inefficient workflows and compromised diagnostic image quality. Real-time bulk-motion detection paves the way for an automated prospective adaptation of MRI sequence parameters on the fly.
		Computer Number: 3 4588. Fetal 4D flow bulk motion estimation – k-space versus image-based surrogates View Presentation Video E. Schrauben, R. Tompkins, E. Englund, T. Fujiwara, L. Browne, P. van Ooij, A. Barker Amsterdam UMC, Amsterdam, Netherlands Impact: Automating detection of fetal bulk motion over longer (e.g. 4D flow) scans allows for more robust motion rejection.
		Computer Number: 4 4589. How to Print Your Marker: an Open-Source, Easy-to-Make, Compact Active Wireless Marker for Motion Tracking View Presentation Video A. De Goyeneche, J. Maravilla, K. Gopalan, A. Falk, S. Yu, C. Liu, M. Lustig UC Berkeley, Berkeley, United States Impact: We introduce a compact, open-source 3D-printed wireless marker for localization applications, such as bulk motion tracking or external device tracking. We hope that the ease of construction and reproducibility will help facilitate its adoption by researchers and in clinical applications.
		Computer Number: 5 4590. Motion detection using Doppler radar: Towards subject- and organ-specific motion correction View Presentation Video C. Maier, E. Solomon, G. Verghese, H. Chandarana, K. T. Block, L. Alon NYU Grossman School of Medicine, New York, United States Impact: Radar is a powerful tool for sensing motion. The independence from the MRI receive chain and frequency range offers advantages for detecting diverse types of motion across MR applications, body regions, and possibly even outside the scanner during interventional procedures.
		Computer Number: 6 4591. Non-Uniform Self-Gating for 2D Lung Imaging using Single Petal Rosette Trajectory View Presentation Video H. Frantz, F. Bschorr, T. Speidel, V. Rasche Ulm University Hospital, Ulm, Germany Impact: This abstract presents the suitability of the non-uniform self-gating approach for 2D lung imaging using single petal rosette trajectory.
		Computer Number: 7 4592. Robust Free-breathing Abdominal Fast Spin-Echo MRI Enabled by Improved Repeated k-t-subsampling and Artifact Minimization (iReKAM) View Presentation Video Y. Li, L. Liang, S. Chen, X. Xu, C. Yuan, H. Xiong, T. Liu, M-L Chu, H-W Chung, N-K Chen, H-C Chang The Chinese University of Hong Kong, Hong Kong, China Impact: iReKAM can enhance motion compensation performance in free-breathing abdominal T2-weighted MRI, resulting in higher robustness and image quality. This improvement is particularly beneficial for accurate diagnosis, as it can enable higher-quality free-breathing imaging for challenging patients.
		Computer Number: 8 4593. Self-navigated motion-correction renal CEST-MRI (SNMC-CEST) under free breathing on 3 T Q. Tao, Z. Chen, W. Zhang, Y. Zhang, Y. Xu, Y. Feng Department of Rehabilitation Medicine, Zhujiang Hospital, Southern Medical University, Guangzhou, China Impact: This study may provide a stable renal CEST-MRI method for patients with nephropathy under free breathing, and improving the accuracy of injury detection.
		Computer Number: 9 4594. Vendor-Neutral, Free-Breathing Fat Quantification Demonstrates Low Bias and High Reproducibility Across Centers at 0.55T, 1.5T, and 3T View Presentation Video J. Tang, D. Tamada, S. Fujita, P. Xu, C. Keen, I. A. Shaik, E. Milshteyn, S. Yee, A. Ellison, D. Rutkowski, J. Brittain, W. Grissom, M. Zaitsev, S. Reeder, Y. Rathi, Y. Jiang, B. Bilgic, J-F Nielsen, D. Hernando University of Wisconsin-Madison, Madison, United States Impact: The strong performance of Pulseq-FAM may enable broader access to free-breathing fat quantification in more vendors and systems. Pulseq-FAM may be used in future studies, such as multi-center clinical trials, which desire harmonization of sequences.
		Computer Number: 10 4595. Motion-aware deep learning reconstruction for accelerated free-breathing ZTE lung MRI View Presentation Video E. Qian, V. Murray, A. Mekhanik, J. Arcos, F. Wiesinger, R. Otazo Memorial Sloan Kettering Cancer Center, New York, United States Impact: Deep learning motion-aware reconstruction of ZTE imaging enables accelerated motion-robust acquisition, which has the potential to promote the use of lung MRI in clinical practice.
		Computer Number: 11 4596. Robust Respiratory Motion-Resolved Cardiac Cine Imaging with Variable Initial Value-based Tiny Golden-Angle Radial Trajectory View Presentation Video J. Hu, X. Hao, H. Zhang, Y. Ji, L. Chen, B. Qiu University of Science and Technology of China, Hefei, China Impact: The proposed novel cardiac cine imaging fully eliminates the requirement of breath-holding, allowing patients to breathe freely throughout the scan. This greatly improves comfort and robustness, making the entire scanning process more patient-friendly and reliable.
		Computer Number: 12 4597. Highly Accelerated Abdominal 4D Flow at 5.0T: A Feasibility Study View Presentation Video R. Cao, S. Li, A. Sun, H. Zhang, B. Wang, J. Hu, N. Yang, J. Zhu, X. Zhang, J. Yuan, H. Wang, H. Li Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China Impact: This study demonstrated the feasibility of highly accelerated abdominal 4D flow imaging at 5.0T. With an optimized sampling pattern and motion-corrected reconstruction, it enables motion-resilient, free-breathing imaging for clinical abdominal vascular assessment within acceptable scan times.
		Computer Number: 13 4598. Five-dimensional cardiac MRI in one minute using the CMR-MOTUS framework on a 1.5 T MR-Linac View Presentation Video M. Terpstra, T. Olausson, C. A. van den Berg, A. Sbrizzi, M. Fast UMC Utrecht, Utrecht, Netherlands Impact: Accurate 5D-MRI enables novel planning and motion mitigation strategies for radiotherapy that could significantly improve thoracic radiotherapy outcomes.
		Computer Number: 14 4599. High-Resolution Free Breathing LGE With Cascaded Compressed Sensing, Automatic Frame Selection and Integrated Motion Correction View Presentation Video W. Rehwald, C. Chevalier, S. Darty, S. Pirela, J. Shelton, S. Bender, N. Mena, G. Gamoneda, K. Morabito, T. Bonesi Alvarenga, H. Kim, D. Wendell, R. Kim Siemens Healthineers, Durham, United States Impact: The proposed free breathing compressed sensing GRE LGE technique could enable studying subtle hyperenhancement concurrent with non-ischemic disease, sometimes not picked up by SSFP. Patients unable to breath hold can be included in studies traditionally only feasible with breath holds.
		Computer Number: 15 4600. An Ultra-fast Deep Learning motion-compensated method for Abdominal Four-dimensional Magnetic Resonance Fingerprinting Reconstruction L. Wang, C. Liu, W. Liao, D. Zhou, D. Hu, y. Wang, X. Wang, P. Cao, T. Li, J. Cai The Hong Kong Polytechnic University, Hong Kong, Hong Kong Impact: UFDL-4DMRF will provide clinicians with new insights into the advantages of 4D-MRF for RT. Future work will focus on developing self-supervised deep learning models to overcome the limitations posed by the absence of ground truth data.
		Computer Number: 16 4601. Motion-robust accelerated in-vivo CEST MRI of liver with keyhole k-space acquisition View Presentation Video Z. Ahasan, M. Shaghaghi, Z. Cai, K. Cai University of Illinois at Chicago, Chicago, United States Impact: This novel integration of motion correction techniques with accelerated acquisition enables motion-robust CEST imaging in the liver region, advancing our ability to study hepatic metabolism non-invasively while significantly reducing scan times in challenging anatomical regions.

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