A Joint Geometric Topological Analysis Network (JGTA-Net) for Detecting and Segmenting Intracranial Aneurysms.

Journal: IEEE transactions on bio-medical engineering
Published Date: May 23, 2025

Abstract

OBJECTIVE: The rupture of intracranial aneurysms leads to subarachnoid hemorrhage. Detecting intracranial aneurysms before rupture and stratifying their risk is critical in guiding preventive measures. Point-based aneurysm segmentation provides a plausible pathway for automatic aneurysm detection. However, challenges in existing segmentation methods motivate the proposed work.

Authors

  • Xinyue Zhang
    Department of Radiology, Changhai Hospital.
  • Zonghan Lyu
    Dept. of Biomedical Engineering, Michigan Technological University, 1400 Townsend Drive Houghton, Michigan 49931, USA.
  • Yang Wang
    Department of General Surgery The First People's Hospital of Yunnan Province, The Affiliated Hospital of Kunming University of Science and Technology Kunming China.
  • Bo Peng
    Institute for Environmental and Climate Research, Jinan University, Guangzhou, China.
  • Jingfeng Jiang
    Depts. of Biomedical Engineering, Mechanical Engineering and Engineering Mechanics, and Computer Science, Michigan Technological University, 1400 Townsend Drive Houghton, Michigan 49931, USA.

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