Artery fragment guided approach for enhancing cerebral aneurysm detection in TOF-MRA imaging.

Journal: Computer methods and programs in biomedicine
Published Date: Jun 10, 2025

Abstract

BACKGROUND: Cerebral aneurysms are a type of cerebrovascular disease that poses a severe threat to life and health. Early screening using Time-of-Flight Magnetic Resonance Angiography (TOF-MRA) can effectively reduce the risk of rupture. Despite the importance of early detection, manual image screening remains a laborious and inefficient process. The current thrust of research in computer-aided detection (CAD) methods is to refine neural networks to improve diagnostic accuracy. In our preliminary work, we discovered that utilizing arterial contour as external knowledge guidance can substantially enhance the detection capabilities of existing networks, thus providing a new perspective for optimizing aneurysm detection techniques.

Authors

  • Chen Geng
    Academy for Engineering and Technology, Fudan University, Shanghai, China.
  • Yucheng Lu
    Department of Radiology, Huashan Hospital, Fudan University, 12 Wulumuqi Middle Road, Shanghai 200040, China; Institute of Functional and Molecular Medical Imaging, Fudan University, Shanghai 200040, China.
  • Peiyang Xue
    School of Biomedical Engineering, Xuzhou Medical University, 209 Tongshan Road, Xuzhou 221004, China.
  • Bin Dai
    Unmanned Systems Technology Research Center, Defense Innovation Institute, Beijing 100071, China.
  • Yifang Bao
    Department of Radiology, Huashan Hospital, Fudan University, Shanghai.
  • Dunhui Bai
    School of Biomedical Engineering, Xuzhou Medical University, 209 Tongshan Road, Xuzhou 221004, China.
  • Yuxin Li
    University of Cincinnati, Department of Chemistry, 312 College Drive, 404 Crosley Tower, Cincinnati, Ohio 45221-0172, United States.
  • Yakang Dai
    Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou, Jiangsu 215163, China. Electronic address: daiyk@sibet.ac.cn.

Keywords

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