Statistical modeling and knowledge-based segmentation of cerebral artery based on TOF-MRA and MR-T1.

Journal: Computer methods and programs in biomedicine
PMID: 31751871

Abstract

BACKGROUND AND OBJECTIVE: For cerebrovascular segmentation from time-of-flight (TOF) magnetic resonance angiography (MRA), the focused issues are segmentation accuracy, vascular network coverage ratio, and cerebral artery and vein (CA/CV) separation. Therefore, cerebral artery segmentation is a challenging work, while a complete solution is lacking so far.

Authors

  • Na Li
    School of Nursing, Fujian University of Traditional Chinese Medicine, Fuzhou, China.
  • Shoujun Zhou
    Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China. Electronic address: sj.zhou@siat.ac.cn.
  • Zonghan Wu
    Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China; Shenzhen Colleges of Advanced Technology, University of Chinese Academy of Sciences, Beijing, China.
  • Baochang Zhang
  • Gang Zhao
    Department of Vascular Surgery, The General Hospital of NingXia Medical University, Yinchuan, 750004, China.

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