Vessel segmentation for X-ray coronary angiography using ensemble methods with deep learning and filter-based features.

Journal: BMC medical imaging
Published Date: Jan 19, 2022

Abstract

BACKGROUND: Automated segmentation of coronary arteries is a crucial step for computer-aided coronary artery disease (CAD) diagnosis and treatment planning. Correct delineation of the coronary artery is challenging in X-ray coronary angiography (XCA) due to the low signal-to-noise ratio and confounding background structures.

Authors

  • Zijun Gao
    Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, USA. zijung@umich.edu.
  • Lu Wang
    Department of Laboratory, Akesu Center of Disease Control and Prevention, Akesu, China.
  • Reza Soroushmehr
    Department of Computational Medicine and Bioinformatics, University of Michigan, 100 Washtenaw Avenue, Ann Arbor, MI 48109, USA.
  • Alexander Wood
  • Jonathan Gryak
  • Brahmajee Nallamothu
    Department of Internal Medicine, University of Michigan, Ann Arbor, USA.
  • Kayvan Najarian

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