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A microcomputer based automated, quantitative coronary angiographic analysis system.

W P Santamore1, F R Kahl, M A Kutcher

  • 1Section of Cardiology, Bowman Gray School of Medicine, Wake Forest University, Winston-Salem, NC 27103.

Annals of Biomedical Engineering
|January 1, 1988
PubMed
Summary
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An automated system for quantitative coronary angiography was developed using an IBM PC-XT computer. This system accurately measures coronary artery dimensions, aiding in the assessment of coronary artery disease severity.

Area of Science:

  • Cardiology
  • Medical Imaging
  • Biomedical Engineering

Background:

  • Accurate assessment of coronary artery stenotic severity is crucial for managing coronary artery disease.
  • Automated analysis systems offer potential to reduce bias and variability in diagnostic interpretations.

Purpose of the Study:

  • To develop and evaluate an automated, quantitative coronary analysis system for assessing coronary artery stenotic severity.
  • To determine the accuracy and reproducibility of the developed system using an IBM PC-XT computer.

Main Methods:

  • Developed an automated quantitative coronary analysis system using an IBM PC-XT computer.
  • Converted 35 mm cine film images to video and digitized them.
  • Implemented algorithms for automatic edge detection, X-ray magnification correction, and arterial dimension calculation.

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Main Results:

  • Achieved a high correlation coefficient (0.996) between actual and calculated dimensions for known objects.
  • Demonstrated good reproducibility (+/- 3.0%) for general dimensions and even better for smaller vessels (<1 mm diameter).
  • Observed increased variability (standard error of 0.20 mm, +/- 7.2% reproducibility) with suboptimal contrast material (25%).

Conclusions:

  • An inexpensive, automated system based on the IBM PC-XT can perform quantitative coronary angiography.
  • Adequate opacification of coronary vessels is essential for reliable and accurate automated analysis.
  • This automated approach can aid in the precise evaluation of coronary artery disease severity.