ISMRM25 - Novel Approaches in Arterial Spin Labeling

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

Novel Approaches in Arterial Spin Labeling

Digital Poster

Contrast Mechanisms

Wednesday, 14 May 2025

Exhibition Hall

14:30 - 15:30

Session Number: D-99

No CME/CE Credit

		Computer Number: 33 3689. Extending the General Kinetic Model for Perfusion to Time-Spatial Labeling Inversion Pulse (Time-SLIP) Applications View Presentation Video V. Malis, M. Miyazaki UC San Diego, San Diego, United States Impact: The extension of GKM to Time-SLIP improves perfusion quantification and visualization of fluid dynamics, providing a more precise tool for studying conditions involving cerebrospinal fluid (CSF) movement. This opens possibilities for more complex fluid dynamic investigations.
		Computer Number: 34 3690. Pushing the Limits of ASL Spatiotemporal Resolution using 3D Accelerated Stack-of-Spirals View Presentation Video L. S. Zhao, Y. Chang, Z. Wang, J. Gottfried, M. D. Tisdall, J. Detre, M. Taso University of Pennsylvania, Philadelphia, United States Impact: Improved spatial and temporal resolution enables enhanced applications including ASL-based resting-state or task dynamics in high-susceptibility regions.
		Computer Number: 35 3691. Self-Supervised SUper-Resolution ASL Enhancement based on 3D Latent Diffusion Models (SURED-L) View Presentation Video Y. Xu, J. Li, J. Zheng, L. Shi, Z. Zhang, W. Dai, J. Li, X. Feng, H. Zhang, L. Zhao College of Biomedical Engineering & Instrument Science, Zhejiang University, Hangzhou, China Impact: The proposed method achieved ASL super-resolution by combining latent and image-space models, which can enhance the resolution of 4mm ASL to 2.5mm, equivalent to reducing the scan time by 13 mins.
		Computer Number: 36 3692. ISMRM Open Science Initiative for Perfusion Imaging (OSIPI): Composite Python Library for ASL Image Processing View Presentation Video Y. Shuai, P. van Houdt, J. Petr, L. Torres, D. Thomas, B. Dickie, L. Kershaw, L. Zhou, A. Adebimpe, Z. Wei, M. G. Mora Álvarez Johns Hopkins University, Baltimore, United States Impact: PyASL provides unified, open-source functions that enable researchers to apply standardized methods across studies, enhancing reproducibility and transparency. It also reduces redundant development, allowing scientists to focus on addressing new challenges in ASL perfusion imaging.
		Computer Number: 37 3693. Effect of Saturation on Velocity-Selective Arterial Spin Labeling based Perfusion Quantification: Accounting for the Inflow of Fresh Blood View Presentation Video F. Xu, D. Zhu, D. Liu, Q. Qin Johns Hopkins University, School of Medicine, Baltimore, United States Impact: To account for inflow effects, VSASL-based CBF quantification should use a slab-selective saturation with a 2.0s delay for optimal tSNR efficiency, and apply a scaling factor of 0.90 for more accurate CBF estimation than relying on the saturation recovery model.
		Computer Number: 38 3694. Stochastic variational inference improves arterial transit time estimation from multi-delay arterial spin labelling data View Presentation Video T. Kirk, G. Kenyon, M. Craig, M. Chappell Quantified Imaging Limited, London, United Kingdom Impact: The advantages of this new method will enable researchers to better exploit ATT measurement via multi-delay ASL, furthering understanding of neurovascular health.
		Computer Number: 39 3695. Feasible and Transferable 3D Quality Control Model for ASL Images View Presentation Video R. Lin, J. Luan, A. Yang, M. Xu, G. Ma, S. Dolui, L. Zhao Zhejiang University, Hangzhou, China Impact: The proposed model enables flexible and transferable quality control for 3D ASL images, which may offer a valuable tool for brain studies across multiple cohorts and sites.
		Computer Number: 40 3696. Whole-cerebrum isotropic 1 mm Arterial Spin Labeling Perfusion at 7T with Improved Temporal Resolution View Presentation Video C. Zhao, F. Guo, Z. Yang, Q. Shou, X. Shao, A. Beckett, E. Walker, S. Ma, D. Feinberg, D. Wang University of Southern California, Los Angeles, United States Impact: This study presents high spatial and temporal resolution ASL perfusion imaging at 7T, providing motion-robust, fast, and fine-grained structural and functional information of the brain.
		Computer Number: 41 3697. Improved ASL in Water-Unsuppressed MRSI Using Generalized Series Modeling and Statistical Learning View Presentation Video R. Guo, Z. Xu, Y. Li, Y. Zhao, W. Jin, Z. Meng, Y. Li, D. Wang, Z-P Liang Siemens Healthineers, St Louis, United States Impact: With the enhanced SNR and imaging speed, this integrated ASL and MRSI method offers a powerful multi-modal imaging tool for investigating cerebral blood flow and brain metabolism under healthy and disease conditions.
		Computer Number: 42 3698. Fast Reconstruction of Time-Resolved 4D MRA with Unrolled Neural Networks View Presentation Video Z. Li, T. Zhao, M. Yurt, S. Vasanawala, L. Yan Northwestern University, Chicago, United States Impact: DL-AngioNet significantly accelerates 4D MRA reconstruction by ~30-fold, which not only preserves good 4D MRA flow dynamics, but also provides improved SNR in the results. DL-AngioNet could facilitate 4D MRA into a wider clinical use.
		Computer Number: 43 3699. A Cramér–Rao Lower Bound-informed 3D Convolutional Neural Network for Multi-delay pCASL Estimation View Presentation Video J. Zheng, M. Lin, P. Huang, L. Zhao Zhejiang University, Hangzhou, China Impact: A CNN model with CRLB-informed MSE loss offered improved accuracy and robustness in CBF estimation and in handling outliers, which may provide an efficient method to quantify ASL images.
		Computer Number: 44 3700. Velocity-selective continuous arterial spin labeling View Presentation Video Z. Zun Weill Cornell Medicine, New York, United States Impact: This work demonstrated a novel approach to ASL perfusion imaging, combining the advantages of VSASL and PCASL, and showing the potential to eliminate transit delay and enhance SNR.
		Computer Number: 45 3701. Feasibility of Velocity-Selective ASL MRA at 5T View Presentation Video Z. Sun, H. Li, L. Liu, X. Zhang, J. Zhu, X. Zhang, Z. Chen, H. Wang Fudan University, Shanghai, China Impact: The study suggests that VS ASL MRA at 5T is feasible.
		Computer Number: 46 3702. Exploring feasibility of whole-brain arterial spin labeling in 10 seconds View Presentation Video J. Guo, N. Ilyas University of California, Riverside, Riverside, United States Impact: The method proposed in this study will enable accurate ASL perfusion measurement with significant reduction of scan time, making ASL potentially an additional diagnostic tool in acute perfusion imaging applications where scan time is extremely precious.
		Computer Number: 47 3703. Cross-vendor comparison of vendor-agnostic Arterial Spin Labeling View Presentation Video M. Nagtegaal, S. Konstandin, M. Günther, M. van Osch, D. Hoinkiss Leiden University Medical Center, Leiden, Netherlands Impact: This is a first step to vendor-neutral multi-center studies that include physiological perfusion measures, however further development and more multi-PLD sequences are desired.
		Computer Number: 48 3704. Labeling configuration optimization of Pseudo-Continuous Arterial Spin Labeling in the intraoperative setting at 3 Tesla. C. Sánchez-Albardíaz, M. Calvo-Imirizaldu, V. Aramendía-Vidaurreta, M. Vidorreta, L. H. Gonzalez-Quarante, B. Bejarano, A. Aransay García, A. Martinez-Simon, E. Cacho-Asenjo, C. Honorato, M. A. Fernández-Seara Clínica Universidad de Navarra, Pamplona, Spain Impact: A PCASL labeling configuration robust to off-resonance effects and to low blood velocities was obtained by shortening RF spacing and increasing the G_ave .The labeling configuration proposed could be beneficial in situations with similar circumstances.

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