A novel model to quantify blood transit time in cerebral arteries using ASL-based 4D magnetic resonance angiography with example clinical application in moyamoya disease
Publication date
2025-06
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Abstract
Angiography is critical for visualizing cerebral blood flow in intracranial steno-occlusive diseases. Current 4D magnetic resonance angiography (MRA) techniques primarily focus on macrovascular structures, yet few have quantified hemodynamic timing. This study introduces a novel model to estimate macrovascular arterial transit time (mATT) derived from arterial spin labeling (ASL)-based 4D-MRA. We provide examples of our method that visualize mATT differences throughout the brain of patients with intracranial steno-occlusive disease (moyamoya), as well as changes in mATT resulting from the cerebrovascular reactivity response to an acetazolamide (ACZ) injection. Furthermore, we present a method that projects sparse arterial signals into a 3D native brain-region atlas space and correlates regional mATT with other hemodynamic parameters of interest, such as tissue transit time and cerebrovascular reactivity. This approach offers a non-invasive, quantitative assessment of macrovascular dynamics, with potential to enhance understanding of large-vessel and tissue-level hemodynamics and augment monitoring of treatment outcomes in steno-occlusive disease patients. Furthermore, it sets the stage for more in-depth investigations of the macrovascular contribution to brain hemodynamics.
Keywords
4D-MRA, Angiography, arterial transit time, cerebrovascular reactivity, moyamoya, multi-PLD pCASL, steno occlusive disease, Neurology, Clinical Neurology, Cardiology and Cardiovascular Medicine, Journal Article
Citation
Bhogal, A A, Uniken Venema, S M, Deckers, P T, van de Ven, K, Versluis, M, Braun, K P, van der Zwan, A & Siero, J C W 2025, 'A novel model to quantify blood transit time in cerebral arteries using ASL-based 4D magnetic resonance angiography with example clinical application in moyamoya disease', Journal of Cerebral Blood Flow and Metabolism, vol. 45, no. 6, pp. 1069-1081. https://doi.org/10.1177/0271678X251321640