Abstract #1260

Vessel-Encoded Arterial Spin Labeling at 7 Tesla

Hongwei Li¹, Yang Ji², He Wang^1,3, Zhensen Chen^1,3, Joseph G. Woods², and Thomas W. Okell²

¹Institute of Science and Technology for Brain-inspired Intelligence, Fudan University, Shanghai, China, ²University of Oxford, Wellcome Centre for Integrative Neuroimaging, FMRIB Division, Nuffield Department of Clinical Neurosciences, Oxford, United Kingdom, ³Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence (Fudan University), Ministry of Education, Shanghai, China

Synopsis

Keywords: Arterial Spin Labelling, Arterial spin labelling, ultra-high field

Motivation: Vessel-encoded arterial spin labeling (VEASL) allows the visualization of collateral blood flow and blood supply to lesions, but has limited SNR. At ultra-high field, ASL benefits from significantly improved SNR and longer blood T1 relaxation time. However, B₀ field inhomogeneity can reduce labeling efficiency and disrupt encoding patterns.

Goal(s): Implementing VEASL robustly at 7 Tesla.

Approach: Optimized ASL parameters, dynamic B₀ shimming and OES-based correction methods were used to mitigate the impact of B₀ field inhomogeneity.

Results: Good vascular territory maps, labeling both the neck and above the circle of Willis, were achieved, including at high spatial resolution.

Impact: We demonstrate the first vessel-encoded ASL perfusion maps at ultra-high field, and the vascular territory maps significantly improved after applying B₀ correction techniques, with the potential to push for even higher spatial resolution.

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