Robust data-driven segmentation of pulsatile cerebral vessels using functional magnetic resonance imaging

Adam M Wright, Tianyin Xu, Jacob Ingram, John Koo, Yi Zhao, Yunjie Tong, Qiuting Wen · 2024

Read Robust data-driven segmentation of pulsatile cerebral vessels using functional magnetic resonance imaging by Adam M Wright, Tianyin Xu, Jacob Ingram, John Koo, Yi Zhao, Yunjie Tong, Qiuting Wen (2024) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/pmc-11620823.txt.

Description

Adam Wright and co-workers present a data-driven method to segment pulsing brain vessels in functional MRI, in a 2024 paper. Functional scans hold rich fluid and vessel information, but vessel maps from other scan types misalign with them due to distortion. Their method works directly in functional scan space.

Large arteries and the brain's main venous sinus pulse with the heartbeat, giving them a distinct signal pattern the method exploits. Validation against hand-made ground truth in a local dataset went well. On a large ageing dataset with hundreds of participants and repeated scans, the segmentations were highly reproducible. The authors say the tool enables reliable fluid dynamics studies in these vessels.

Catalog record

CREATORAdam M Wright, Tianyin Xu, Jacob Ingram, John Koo, Yi Zhao, Yunjie Tong, Qiuting Wen
YEAR2024
COLLECTIONPAPERS
FORMATTXT
FILE SIZE42 KB
VERSION1.0
LICENSECC BY 4.0
RIGHTSCC BY
SOURCEEurope PMC

Source: https://europepmc.org/articles/PMC11620823

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