Expanding point cloud statistical shape model applications: Generalized vascular modeling for population-level hemodynamic simulations.

Journal: Computer methods and programs in biomedicine
Published Date: Jun 23, 2025

Abstract

BACKGROUND AND OBJECTIVE: Population-scale hemodynamic research faces limitations due to the trade-off between computationally expensive patient-specific Computational Fluid Dynamics (CFD) and overly idealized cylindrical models. To overcome this, we propose a novel Tier-2 workflow that integrates point-cloud statistical shape modeling (Pcd-SSM) with HDBSCAN clustering. This approach aims to efficiently characterize the C1 geometries of the internal carotid artery (ICA) and analyze their corresponding flow patterns.

Authors

  • Yao Zeng
    Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai 200233, PR China
  • Zheng Sun
    Department of Electrical and Computer Engineering, California Baptist University, 3739 Adams Street, Riverside, CA, 92504, USA.
  • Mengfei Wang
    School of Health Science and Engineering, University of Shanghai for Science and Technology, 200093, Shanghai, China.
  • Zhuo Li
    Biostatistics Unit, Mayo Clinic, Jacksonville, FL, United States.
  • Ao Liu
    Department of Thoracic Surgery, The Affiliated Hospital of Qingdao University, Qingdao, China.
  • Meixiu Pan
    Shenyang University of Technology, School of Chemical Engineering and Equipment, No.111 Shenliao Road, Shenyang, Liaoning Province 110870, PR China
  • Haifeng Zhao
    Multi-Disciplinary Research Division, Institute of High Energy Physics, 19B Yuquan Road, Shijingshan District, Beijing 100049, People's Republic of China.
  • Yuehua Li
    From the Institute of Diagnostic and Interventional Radiology (Y.L., M.Y., X.D., J.Z.) and Department of Cardiology (Z.L., C.S.), Shanghai Jiao Tong University Affiliated Sixth People's Hospital, #600, Yishan Rd, Shanghai, China 200233; Department of Radiology, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, China (Y.W.); and Department of Radiology, Fuwai Hospital, State Key Laboratory of Cardiovascular Disease, National Centre for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China (B.L.).

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