MOdulation-Guided ENcoding (MOGEN) Scheme for Vessel-Encoded Arterial Spin Labeling

Vessel-encoded arterial spin labeling (VEASL) enables simultaneous, non-contrast imaging of multiple vascular territories that is useful for differential diagnosis and treatment monitoring of cerebrovascular diseases. However, the existing encoding methods are either signal-to-noise ratio (SNR) inefficient or requiring the spatial modulation to approximate a cosine function. To address these limitations, we developed a MOdulation-Guided ENcoding (MOGEN) scheme that directly exploits the spatial modulation pattern to obtain SNR-efficient encoding matrix. Simulation studies demonstrated that MOGEN achieves significantly higher theoretical SNR efficiency than previous methods across both four-and six-artery configurations. In healthy volunteers, MOGEN improved in vivo SNR by approximately 15% and provided more robust vessel decoding, particularly when the spatial modulation deviated from the cosine profile. In patients with Moyamoya disease, MOGEN enabled reliable visualization of collateral pathways even when scan time was reduced to ∼5 minutes for six arteries. Furthermore, by incorporating vessel size information and ensuring sharp label/control transitions, MOGEN enhanced single-artery selectivity in vessel-encoded angiography. We also demonstrated that a straightforward approach of off-resonance correction for VEASL at ultra-high field was feasible by using MOGEN.