Plaque components segmentation in carotid artery on simultaneous non-contrast angiography and intraplaque hemorrhage imaging using machine learning.

Journal: Magnetic resonance imaging
PMID: 30959178

Abstract

PURPOSE: This study sought to determine the feasibility of using Simultaneous Non-contrast Angiography and intraPlaque Hemorrhage (SNAP) to detect the lipid-rich/necrotic core (LRNC), and develop a machine learning based algorithm to segment plaque components on SNAP images.

Authors

  • Qiang Zhang
    Yunan Provincial Center for Disease Control and Prevention, Kunming 650022, China.
  • Huiyu Qiao
    Center for Biomedical Imaging Research, Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing, China.
  • Jiaqi Dou
    Center for Biomedical Imaging Research, Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing, China.
  • Binbin Sui
    Department of Radiology, Beijing TianTan Hospital, Capital Medical University, Beijing Neurosurgical Institute, Beijing, China.
  • Xihai Zhao
    Center for Biomedical Imaging Research, Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing, China.
  • Zhensen Chen
    Center for Biomedical Imaging Research, Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing, China.
  • Yishi Wang
    Center for Biomedical Imaging Research, Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing, China; Philips Healthcare, Beijing, China.
  • Shuo Chen
    Department of Thoracic Surgery Beijing Chao-Yang Hospital Affiliated Capital Medical University Beijing China.
  • Mingquan Lin
    Department of Population Health Sciences, Weill Cornell Medicine, New York, USA.
  • Bernard Chiu
    Department of Electronic Engineering, City University of Hong Kong, Kowloon, Hong Kong, China. Electronic address: bcychiu@cityu.edu.hk.
  • Chun Yuan
    Center for Biomedical Imaging Research, Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing, China; Vascular Imaging Laboratory, Department of Radiology, University of Washington, Seattle, WA, USA.
  • Rui Li
    Department of Oncology, Xiyuan Hospital, China Academy of Chinese Medical Science, Beijing, China.
  • Huijun Chen
    Center for Biomedical Imaging Research, Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing, China. Electronic address: chenhj_cbir@mail.tsinghua.edu.cn.

Keywords

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