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Automatic Estimation of Coronary Blood Flow Velocity Step 1 for Developing a Tool to Diagnose Patients With

Mahdieh Khanmohammadi1, Kjersti Engan1, Charlotte Sæland2

  • 1University of Stavanger Department of Electrical Engineering and Computer Science, Stavanger, Norway.

Frontiers in Cardiovascular Medicine
|February 12, 2019
PubMed

Insights

A new automatic method estimates coronary blood velocity from X-ray angiography. This technique correlates well with Doppler measurements, aiding in diagnosing coronary artery disease without invasive procedures.

Area of Science:

  • Cardiovascular imaging
  • Biomedical engineering
  • Medical diagnostics

Background:

  • Estimating coronary blood velocity is crucial for diagnosing angina pectoris, especially when coronary artery disease is not significant.
  • Coronary flow reserve assessment relies heavily on accurate blood velocity measurements.

Purpose of the Study:

  • To develop and validate an automated method for estimating blood velocity in coronary arteries using only cine X-ray angiographic sequences.
  • To assess the correlation between the novel automated method and traditional transthoracic Doppler measurements.

Main Methods:

  • A multi-step automated process involving coronary artery segmentation, heart motion removal via non-rigid registration, and area change analysis.
  • Utilizing a 7° polynomial fit to determine dye propagation time and subsequently calculating blood flow velocity.
  • Validation using coronary angiography data from 21 patients and comparison with transthoracic Doppler assessments.

Main Results:

  • The automated method successfully estimated blood velocity from X-ray angiographic sequences.
  • A moderate, statistically significant correlation was observed between the novel method and transthoracic Doppler measurements (Spearman and Pearson tests).

Conclusions:

  • The developed fully automatic method provides statistically significant and correlated measures of coronary flow velocity.
  • This X-ray angiography-based approach offers a promising, non-invasive alternative for assessing coronary blood flow.

Keywords:
X-ray angiographyautomatic segmentationblood flow velocitycoronary arteriescoronary flow reserveimage registrationtransthoracic doppler

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