FFCM-MRF: An accurate and generalizable cerebrovascular segmentation pipeline for humans and rhesus monkeys based on TOF-MRA

Yue Cui, Haibin Huang, Jialu Liu, Mingyang Zhao, Chengyi Li, Xinyong Han, Na Luo, Jinquan Gao, Dong-Ming Yan, Chen Zhang, Tianzi Jiang, Shan Yu

Abstract: Highlights•Cerebrovascular segmentation was accomplished using FFCM-MRF.•FFCM-MRF refers to fast fuzzy c-means clustering with Markov random field refinement.•FFCM-MRF is a highly accurate, reliable, and generalizable method.•An open-source user-friendly toolbox is available to facilitate vascular studies.