Automated pipeline improves velocity reconstruction and vessel segmentation in 4D Flow MRI, enhancing cerebrovascular assessments.
Key Points
VAST significantly reduces velocity root-mean-square error by up to fourfold, enhancing accuracy under degraded conditions.
Velocity reconstruction through continuity-constrained phase unwrapping supports more self-consistent intracranial flow fields.
Observational analysis across synthetic, in vitro, and in vivo datasets validates VAST's performance, confirming improved segmentation accuracy and reduced errors.
Automating vessel segmentation and reconstruction may enable routine quantitative use of 4D Flow MRI in clinical settings.