ISMRM25 - MRI Acquisition & Reconstruction

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

MRI Acquisition & Reconstruction

Digital Poster

Acquisition & Reconstruction

Monday, 12 May 2025

Exhibition Hall

14:45 - 15:45

Session Number: D-21

No CME/CE Credit

		Computer Number: 17 1833. Improving FLAIR MRI Quality with Super-Resolution Deep Learning Reconstruction View Presentation Video J-K Ryu, H-J Jang, C. Otgonbaatar, J. Kim, S. Jeon, H. Shim Canon Medical Systems Korea, Seoul, Korea, Republic of Impact: The SR-DLR method could transform FLAIR MRI, enabling improved detection and quantification of white matter lesions without extended scan times. This advancement may influence imaging standards for brain pathology and drive new insights into neuro-degenerative disease diagnosis.
		Computer Number: 18 1834. Sliding-Window-Based Frame Selection for T1-Mapping GOAL-SNAP MRA H. Li, J. Dou, X. Liu, H. Sun, H. Chen Tsinghua University, Beijing, China Impact: A novel sliding-window-based frame searching method enhances GOAL-SNAP MRA for improved visualization of intracranial vessels. The proposed method demonstrates superior performance in visualizing distal vessels and estimating the severity of stenosis compared to TOF MRA.
		Computer Number: 19 1835. Density optimization of low-discrepancy k-space trajectories for accelerated 2D single-point imaging View Presentation Video P. Gebhard, T. Speidel, F. Bschorr, J. Schüle, V. Rasche Ulm University Medical Center, Ulm, Germany Impact: The clinical application of pure phase encoding methods as SPI and CSI is limited by the related long acquisition times. The presented optimized trajectories enable high undersampling and related reduction of scan time for broader clinical applications.
		Computer Number: 20 1836. Bullet: An Acceleration Method for Cartesian Partial Echo Acquisition View Presentation Video H. Hong, Y. Ren, W. Liu, Z. Zhou, P. Hu ShanghaiTech University, Shanghai, China Impact: The method has the potential to improve clinical MRI workflows by reducing scan times while preserving image quality.
		Computer Number: 21 1837. SNR Comparison of the 16-Channel Skope.Swiss NeuroCam versus a Philips 32-Channel Coil in Phantom and Volunteer Data View Presentation Video J. Devos, S. Sunaert, R. Peeters, R. Ahmed, H. Baeyens, D. Christiaens UZ Leuven, Leuven, Belgium Impact: This study compared regional SNR between the Skope.Swiss 16-channel NeuroCam™ head coil, equipped with dynamic field monitoring, and a Philips dStream 32-channel head coil. Findings offer researchers practical guidance on coil selection based on regional SNR requirements and study objectives.
		Computer Number: 22 1838. Joint Tensor Low-Rank and Attention-based Sparse Unrolling Network for Accelerating Dynamic MRI View Presentation Video Y. Hu, Y. Zhang, J. Li Harbin Institute of Technology, Harbin, China Impact: The framework we proposed carries profound implications for various models incorporating joint priors, extending beyond the interaction of low-rank and sparse priors and transcending the realm of dynamic MRI reconstruction applications.
		Computer Number: 23 1839. A Tuned, 7-pulse Implementation of the Variable Power and Optimized Relaxations Delays View Presentation Video H. Takeshima, S. Maruyama Canon Medical Systems Corporation, Tokyo, Japan Impact: The proposed implementation of the variable power and optimized relaxations delays (VAPOR) improved efficiency of the water suppression of MRS. The spectra acquired with the proposed implementation demonstrated the efficiency at 1.5 and 3 T.
		Computer Number: 24 1840. Estimation of apparent diffusion coefficient (ADC) of three major metabolites measured in human brain at 3T View Presentation Video Z. Javed, G. Collier, N. Hoggard, J. Wild Section of Medical Imaging and Technologies, Division of Clinical Medicine, School of Medicine and Population Health, Faculty of Health, University of Sheffield, Sheffield, United Kingdom Impact: Non-invasive quantification of metabolic diffusion and regional metabolic profile characterization can enhance neurological disorder diagnostics. This study shows diffusion-weighted spectroscopy's potential to assess in vivo metabolic profiles, refining biomarkers for early diagnosis and treatment monitoring, and improving clinical outcomes.
		Computer Number: 25 1841. DarkSPARC: Novel Method for Self-Calibrated Spectral Formation of Left Atrial Dark-Blood from Bright-Blood LGE MRI View Presentation Video M. S. Elbaz Northwestern University, Chicago, United States Impact: DarkSPARC’s has the potential to improve LGE image quality while eliminating the need for separate dark-blood acquisitions, reducing scan time and patient discomfort. It may have potential applications beyond atrial imaging, for vessel wall imaging.
		Computer Number: 26 1842. High-quality Brain MR Fingerprinting Based on Latent Manifold Structure Regularization View Presentation Video P. Li, Y. Ji, Y. Hu Harbin Institute of Technology, HARBIN, China Impact: By exploiting the manifold structure prior of MRF data, our method can better reconstruct detailed textures and provide accurate brain tissue characterization, thereby improving the diagnostic accuracy in clinical applications.
		Computer Number: 27 1843. Comparative Analysis of GRAPPA and SMS Acceleration Methods in Multidimensional Diffusion-Relaxation Correlation MRI L. Zhou, P. Or, Q. Shi, Q. Zhang, D. Weng, X. Zhang, F. Zong Beijing University of Posts and Telecommunications, Beijing, China Impact: This study investigates the influence of SMS and GRAPPA acceleration techniques in MD-MRI, providing a reference to find a balance between acquisition time and inversion result quality.
		Computer Number: 28 1844. Open-source, Flexible, and Reproducible Workflow for Data Acquisition, Reconstruction, and Post-processing Based on Pulseq and Open Recon View Presentation Video Q. Chen, P. Hucker, M. Shafiekhani, M. Zaitsev Division of Medical Physics, Department of Diagnostic and Interventional Radiology, University Medical Center Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany Impact: We demonstrate a successful integration of Pulseq with Open Recon, thereby establishing an open-source, flexible, and reproducible workflow for data acquisition, reconstruction, and post-processing, and validate this workflow with four example sequences.
		Computer Number: 29 1845. Optimisation of Flip-Angle Schedules for MR Fingerprinting with inhomogeneous Transmit Fields View Presentation Video F. Horger, S. McElroy, S. Malik, J. Hajnal King's College London, London, United Kingdom Impact: This work addresses one of the problems of quantitative imaging at ultra-high field to make its benefit more accessible. The larger aim is to achieve high resolution parameter maps which can be useful for diagnosis and research of neurodegenerative diseases.
		Computer Number: 30 1846. Real-time 13C J-coupling-edited Proton High-Resolution Magic Angle Spinning (HRMAS) MRS of Live Cells View Presentation Video R. Ghosh Biswas, E. Zhang, A. Pavao, L. Bry, L. Cheng Massachusetts General Hospital, Charlestown, United States Impact: ¹H-¹³C-J-coupling (¹H[¹³C-Jed]) HRMAS was used to follow real-time targeted metabolism of ¹³C-glucose and ¹³C-threonine in 100,000 C. diff. cells (20 µL) using ¹³C-labelled substrates, for >48 hours. A 13.9x improvement in S/N in ¹H[¹³C-Jed relative to ¹³C-MRS was observed.
		Computer Number: 31 1847. Super-resolution MRI with 3D cones View Presentation Video H. Brnawi, M. Mendoza, N. Bangerter, P. Lally Imperial College London, London, United Kingdom Impact: Non-Cartesian COMBINE opens new avenues for super-resolution UTE imaging and broadening clinical applications.
		Computer Number: 32 1848. RAUQ-4DRecon：A Robust Anatomy-based Ultra-Quality 4D MRI reconstruction workflow View Presentation Video p. wang, W. Liu, W. Wang, H. Wu, J. Lai, Y. Zhang, J. Deng, J. Cai, T. Li the Hong Kong Polytechnic University, Hong Kong, Hong Kong Impact: This study addresses data limitations in training 4D-MRI reconstruction workflows, significantly enhancing generalizability of 4D-MRI and expanding its potential clinical applications across various medical settings. The digital phantom-based training procedure also offers valuable insights for other medical image processing tasks.

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