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Analysis of Left Main Coronary Bifurcation Angle to Detect Stenosis

  • S. JevithaEmail author
  • M. Dhanalakshmi
  • Pradeep G. Nayar
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 941)

Abstract

Narrowing of blood vessel due to plaque deposition is known as stenosis that acts as prime indicator of the coronary artery diseases (CAD). Coronary cine angiography (CCA) is a digital imaging modality used for the assessment of severity of coronary bifurcation lesions in the coronary arteries. Angiography based stenosis diagnosis is done as subjective analysis by the clinicians that results in overestimations or underestimations of detected stenosis. In stenosis, mostly the plaque deposition occurs at the left main coronary artery (LMCA) branch. Bifurcation angle at site of LMCA act as significant indicators of presences of stenosis. The proposed work involves segmentation of LMCA using various segmentation techniques such as Morphological based segmentation, Hessian detection and Active contour segmentation. Active contour segmentation provides clear visualization of LMCA structure when compare to all other segmentation methods. Then, computation of automatic bifurcation angle measurement at bifurcating regions of LMCA such as left anterior descending (LAD) and left circumflex (LCx) in both normal and stenotic images of CCA is performed. The diagnostic performance of stenosis yields a detection accuracy of 92%. The outcome of proposed work is found to be quantitative tool for the clinicians in accurate analysis of prediction of stenosis and also helpful during stent replacement surgical procedure in percutaneous coronary interventions.

Keywords

Left main coronary artery Coronary Cine Angiogram Active contour segmentation Bifurcation angle Stenosis 

Notes

Acknowledgment

We thank for the support of ‘Chettinad Hospital, Chennai’ for providing both normal and stenotic arteries of Coronary Cine Angiograms, which made us to do this project.

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Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  • S. Jevitha
    • 1
    Email author
  • M. Dhanalakshmi
    • 1
  • Pradeep G. Nayar
    • 2
  1. 1.Department of Biomedical EngineeringSSN College of EngineeringChennaiIndia
  2. 2.Department of CardiologyMIOT HospitalChennaiIndia

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