ISMRM25 - Novel Methods in Cerebrovascular Contrast Mechanism

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

Novel Methods in Cerebrovascular Contrast Mechanism

Power Pitch

Contrast Mechanisms

Tuesday, 13 May 2025

Power Pitch Theatre 2

15:45 - 17:45

Moderators: Eamon Doyle & Audrey Fan

Session Number: PP-11

No CME/CE Credit

15:45		Screen Number: 26 0718. Estimation of Cerebral Oxygen Extraction Fraction (OEF) by Haematocrit-Corrected QQ (QSM + qBOLD) in Sickle Cell Anaemia View Presentation Video I. Hawley, M. Lee, H. Stotesbury, K. Shmueli, C. Clark, J. Cho, F. Kirkham Developmental Neurosciences, UCL Great Ormond St. Institute of Child Health, London, United Kingdom Impact: QQ (QSM + qBOLD) enables a non-invasive method of studying haemodynamic health via regional estimation of OEF and CMRO₂ in participants, of all ages, with SCA. The differences found suggest the important role of cerebral metabolism in tissue injury.
15:47		Screen Number: 27 0719. Enhanced QQ-based Oxygen Extraction Fraction Mapping by Incorporating Realistic Water Diffusion and Vasculature: QQ-MASTER View Presentation Video R. Yang, A. Ally, J. Cho UB SUNY, Buffalo, United States Impact: The proposed QQ-MASTER enables accurate OEF quantification for both healthy tissue and abnormal stroke lesion by considering comprehensive and realistic physiological scenarios. QQ-MASTER is therefore clinically applicable in various neurologic disorders, aiding in assessing disease severity and developing therapeutic targets.
15:49		Screen Number: 28 0720. Estimating blood oxygen saturation through susceptibility sources separation: a new standpoint on quantitative BOLD models View Presentation Video L. Chalet, S. Rigollet, V. Stupar, A. Delphin, T. Coudert, B. Lemasson, E. Barbier, L. Mechtouff, T. Boutelier, E. Canet-Soulas, T. Christen Univ. Claude Bernard Lyon1, Lyon, France Impact: Unraveling extravascular and intravascular signal contributions using our new model holds promise for the characterization of tissular magnetic properties and oxygenation which may serve as biomarkers of hypoxia and predictive tools of damage reversibility in clinical ischemic stroke.
15:51		Screen Number: 29 0721. Accelerated 3D mapping of whole brain venous oxygenation with nested-shift under sampling and ESPIRIT reconstruction View Presentation Video Y. Hong, D. jiang, Y. Zhang, Y-C Hsu, H. Lu, D. Wu, Z. Lin Zhejiang University, HangZhou, China Impact: The 3D TRU-VERA sequence enables rapid, non-invasive assessment of venous oxygenation (Y_v) across the entire brain, providing vessel-specific quantification and comprehensive evaluation of regional cerebral oxygen metabolism.
15:53		Screen Number: 30 0722. A Gradient Echo-Spin Echo BOLD framework for quantitative mapping of OEF and CMRO2 with calibrated functional MRI View Presentation Video A. Chiarelli, S. Pomante, F. Fasano, M. E. Caligiuri, S. Censi, D. Di Censo, E. Bliakharskaia, M. Carriero, F. Graziano, A. Caporale, E. Biondetti, R. Wise, M. Germuska University G. D'Annunzio of Chieti-Pescara, Chieti, Italy Impact: The GE/SE BOLD calibrated fMRI framework appears feasible. It may allow for robust inference of OEF and CMRO₂ maps through a single vasodilatory stimulus and without the need for functional ASL recordings.
15:55		Screen Number: 31 0723. Rapid measurement of cerebral venous oxygenation using EPI-based T2-Relaxation-Under-Phase-Contrast (TRUPC) View Presentation Video Y. Gou, W. Shi, J. Song, H. Lu Johns Hopkins University School of Medicine, Baltimore, United States Impact: We developed a MR technique for accurate and reliable Yv measurement on brain veins within 1.5 minutes. It showed nice reproducibility and consistency under different challenges with previously developed sequence.
15:57		Screen Number: 32 0724. Fast and Non-Invasive Oxygen Extraction Fraction Mapping Using Hyperoxic BOLD-fMRI and Deep-Learning-Accelerated Relaxometry View Presentation Video E. Saks, S. Kaczmarz, N. Blockley, C. Zimmer, C. Preibisch, G. Hoffmann Institute for Neuroradiology, School of Medicine and Health, TUM University Hospital, Technical University of Munich, Munich, Germany Impact: We investigated CBV estimation from hyperoxic BOLD-fMRI with two quantification models as a non-invasive alternative to contrast-agent-based DSC MRI, and the reduction of R₂ʹ acquisition time by DL-based acceleration. Ultimately, this parameter combination enables fast and non-invasive OEF mapping.
15:59		Screen Number: 33 0725. SynthOEF: Oxygen Extraction Fraction (OEF) Mapping from multi Gradient-Echo Data using a U-Net trained with Synthetically Generated Data View Presentation Video M. Sisman, H. Zhuang, A. Roberts, L. Zhou, S. Zhang, Y. Li, M. de Leon, G. Chiang, T. Nguyen, P. Spincemaille, Y. Wang Cornell University, Ithaca, United States Impact: Oxygen Extraction Fraction (OEF) is an important clinical biomarker of tissue viability. Noninvasive measurement of OEF might have high clinical impact by providing critical knowledge of tissue health in diseases such as stroke, Alzheimer’s disease, and multiple sclerosis (MS).
16:01		Screen Number: 34 0726. Alteration of Water Exchange Rates Following Focused ultrasound-Mediated BBB Opening in the Dorsal Striatum: A Diffusion-Prepared pCASL Study PDF Poster View Presentation Video D. Liu, X. Shao, S. Sanatkhani, F. Munoz, E. Konofagou, D. Wang, V. Ferrera Columbia University, New York, United States Impact: This study evaluated a non-contrast MRI method to assess focused ultrasound-induced BBB opening, providing a safer alternative to gadolinium-based agents for monitoring BBB permeability changes and supporting clinical advances in FUS-mediated drug delivery and neuromodulation.
16:03		Screen Number: 35 0727. Noncontrast assessment of blood-brain barrier permeability to water: improved reliability and spatial specificity View Presentation Video W. Shi, J. Song, J. Wu, Y. Gou, Z. Hu, D. Jiang, Z. Lin, H. Lu Johns Hopkins University School of Medicine, Baltimore, United States Impact: Non-contrast WEPCAST MRI based on the generalized venous signal model can reliably measure blood-brain-barrier permeability to water with spatial specificity, which has great potential in studying neurological diseases and relevant clinical applications.
16:05		Screen Number: 36 0728. Non-contrast measurement of BBB permeability using an accelerated WEPCAST MRI with velocity-selective single-shot acquisition View Presentation Video Y. Hu, y-c Hsu, D. Wu, H. Lu, L. Zhao, Z. Lin Zhejiang University, Hangzhou, China Impact: This study proposed an accelerated velocity-selective WEPCAST technique that enables the assessment of global BBB permeability to water in nearly half the original scan time, with improved robustness to motion and cardiac pulsation.
16:07		Screen Number: 37 0729. Cerebrovascular Reactivity Under Hypercapnia and Hypoxia: Comparing Whole-Brain and Regional Measurements from Phase-Contrast and ASL MRI View Presentation Video H. Johnson, M. Bright Northwestern University, Chicago, United States Impact: We show that ASL measures of cerebrovascular reactivity are significantly lower than phase-contrast measures, and atypical CVR values found in ASL may result from changes in labeling efficiency. Hypoxic CVR variability does not seem to be driven by regional differences.
16:09		Screen Number: 38 0730. QEI-Net: A Deep learning-based automated quality evaluation index for ASL CBF Maps View Presentation Video X. Beltran Urbano, M. Taso, I. Nasrallah, J. Detre, Z. Wang, S. Dolui University of Pennsylvania, Philadelphia, United States Impact: We propose QEI-Net, a deep learning based automated quality evaluation method for Arterial Spin Labeling (ASL) derived cerebral blood flow images. QEI-Net can enable consistent and reproducible quality assessments and reduce the time burden and subjectivity in studies using ASL.
16:11		Screen Number: 39 0731. Whole-cerebrum Arterial Spin Labeling Perfusion at 7T with isotropic 1 mm and sub-millimeter resolution with 3D TFL-pCASL and Stack-of-Spirals View Presentation Video C. Zhao, Z. Yang, F. Guo, 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-resolution ASL perfusion imaging at 7T, providing fine-grained assessments of brain structure and function with comparable resolutions and details of structural MRI.
16:13		Screen Number: 40 0732. Motion-Robust ASL Perfusion Imaging with Self-Navigation Using 3D GRASE and CAIPI Sampling View Presentation Video M. Hu, M. Chiew, F. Lange, P. Jezzard, J. Woods, T. Okell University of Oxford, Oxford, United Kingdom Impact: We investigate a motion-robust pCASL sequence using a segmented 3D GRASE readout with CAIPI sampling, improving perfusion image quality in the presence of inter-shot motion without increasing scan time. This approach facilitates future clinical applicationwith less cooperative patients.
16:15		Screen Number: 41 0733. Quiet ASL with Non-rephasing Labeling Gradients and Silent Readout View Presentation Video E. Zheng, J. Zhang, J. Li, L. Zhao Zhejiang University, Hangzhou, China Impact: The proposed quiet ASL provided a novel approach to label blood. It may improve patients experience and have a great potential in resting state fMRI studies.
16:17		Screen Number: 42 0734. A straightforward approach for 3D single-shot ASL based brain perfusion imaging: preventing artifacts due to signal fluctuations View Presentation Video D. Zhu, F. Xu, D. Liu, Q. Qin Kennedy Krieger Institute, Baltimore, United States Impact: This study showed that inter-shot signal fluctuations could cause artifacts for multi-shot arterial spin labeling, which were prevented using single-shot. Single-shot is recommended for all scans with potentially large signal fluctuations, which could be achieved with stack-of-spirals turbo FLASH acquisition.
16:19		Screen Number: 43 0735. MOdulation-Guided ENcoding (MOGEN) Scheme for Vessel-Encoded Arterial Spin Labeling Planning View Presentation Video H. Li, T. Okell, J. Woods, Y. Ji, Y. Suzuki, Z. Sun, Y-H Chu, Y-C Hsu, H. Wang, Z. Chen Fudan University, Shanghai, China Impact: Our study proposed a novel VEASL encoding method, MOGEN, guided by modulation information which is better suited to various PCASL parameter setting, further enhancing the SNR.
16:21		Screen Number: 44 0736. Optimizing arterial spin labeling denoising with deep learning – effects of averaging and training strategies View Presentation Video J. Guo, A. Sharma, H. Rahimzadeh University of California, Riverside, Riverside, United States Impact: This is the first study to systematically investigate the effects of different averaging and training strategies in DL-based ASL denoising. The results will help guide ASL scan and post-processing designs for significant reduction of scan time while achieving optimal performance.
16:23		Screen Number: 45 0737. Multi-module ASL MRA sequences for improving visualization of distal small brain vessels View Presentation Video Z. Sun, H. Li, L. Liu, Y. Liao, J. Wang, T. Qian, L. Wang, Y. Chu, H. Wang, Z. Chen Fudan University, Shanghai, China Impact: The results indicate that combining SSVS and FAIR can improve imaging of distal small brain vessels, with little compromise for imaging of the proximal vessels, therefore has a great clinical potential.
16:25		Screen Number: 46 0738. Simultaneous intracranial 4D MRA and perfusion imaging using dual-ASL modules with 3D stack-of-stars golden-angle radial acquisition View Presentation Video T. Zhao, Z. Li, L. Yan Northwestern University, Chicago, United States Impact: The developed dual-ASL technique could be a potentially powerful imaging tool in clinical applications, which provides a detailed characterization of flow hemodynamics from both arterial and capillary beds by a single scan.
16:27		Screen Number: 47 0739. High-fidelity infant regional cerebral blood flow map with isotropic 2mm resolution acquired through segmented 3D GRASE pCASL View Presentation Video M. Ouyang, M. Vidorreta, M. Taso, J. Detre, H. Huang Children's Hospital of Philadelphia, Philadelphia, United States Impact: Capitalizing on an advanced segmented 3D GRASE pCASL with background suppression, we acquired the highest-resolution infant CBF maps available at isotropic 2mm, providing unprecedented details of regional CBF variations across whole infant brain structures characterized by small sizes.
16:29		Screen Number: 48 0740. Comparison between multiparametric arterial spin labeling and 15O-water positron emission tomography in patients with moyamoya disease View Presentation Video S. Ishida, H. Kimura, M. Isozaki, K. Takata, Y. Matta, T. Tsujikawa, H. Okazawa Kyoto College of Medical Science, Kyoto, Japan Impact: Multiparametric arterial spin labeling enables a detailed, noninvasive evaluation of cerebral hemodynamics in patients with moyamoya disease, with a clinically acceptable scan time, and potentially allows for the detection of early-stage hemodynamic impairment in these patients.
16:31		Screen Number: 49 0741. Modeling contrast agent dynamics in the lung: effects of tissue volume fractions and intercompartmental water exchange in pulmonary DCE-MRI View Presentation Video J. Marchant, P. Caravan, B. Rosen, I. Zhou Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Charlestown, United States Impact: The proposed model provides an analytical tool for absolute quantification of pulmonary perfusion and microvascular parameters in the lung and could enable improved patient care and treatment development in the setting of fibrotic lung disease.
16:33		Screen Number: 50 0742. 4D flow MRI of splanchnic vasculature for diagnosis of severe portal hypertension and prediction of outcomes View Presentation Video O. Bane, A. Geahchan, D. Stocker, G. Abboud, P. Kennedy, H. Sharma, S. Hectors, S. Thung, N. Jin, A. Fischman, M. Markl, S. Reeder, T. Schiano, B. Taouli Icahn School of Medicine at Mount Sinai, New York, United States Impact: 4D flow MRI diagnoses severe portal hypertension with excellent performance, and predicts hepatic decompensation with equivalent performance to HVPG, making it suitable for integration into surveillance MRI protocols for patients with liver cirrhosis.

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