Estimation of Coronary Artery Dimensions from Angiograms.

Abstract

A new approach is presented for the measurement of the severity of coronary obstructions from coronary angiograms. An angiogram is an x-ray picture of arteries in which a contrast agent has been injected. Existing techniques are heuristic and their performance is not satisfactory. The proposed approach exploits the characteristics of the signals involved. A model of the film density of the coronary angiograms is developed and used to estimate the diameter and cross-sectional area at each point along the vessel. The model accounts for the structure of the vessel and background, as well as the distortions introduced by the imaging system. Both a one-dimensional and a two-dimensional model of the angiogram are presented. The algorithms are tested on synthetic data, on x-rays of contrast-medium-filled cylindrical phantoms, and on real coronary angiograms. Both algorithms are shown to have better performance than current methods. Moreover, the two-dimensional algorithm is better than the one-dimensional algorithm.

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Document Details

Document Type
Technical Report
Publication Date
Apr 01, 1987
Accession Number
ADA181671

Entities

People

  • Thrasyvoulos N. Pappas

Organizations

  • Massachusetts Institute of Technology

Tags

Communities of Interest

  • Ground and Sea Platforms

DTIC Thesaurus Topics

  • Angiography
  • Blood
  • Blood Vessels
  • Cardiovascular System
  • Computations
  • Computers
  • Diagnostic Imaging
  • Electrical Engineering
  • Heart Diseases
  • Image Processing
  • Materials
  • Myocardial Ischemia
  • Numerical Analysis
  • Signal Processing
  • Standards
  • Three Dimensional
  • Two Dimensional

Fields of Study

  • Physics

Readers

  • Geochemistry
  • Image Processing and Computer Vision.
  • Neurological Diseases/Conditions/Disorders