Doppler echocardiography flow-velocity image analysis for patients with atrial fibrillation

Hayit Greenspan*, Oron Shechner, Mickey Scheinowitz, Micha S. Feinberg

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

24 Scopus citations


Currently, Doppler echocardiography analysis is performed manually. An automated method that analyzes the Doppler signal can potentially improve accuracy and result in a powerful tool for noninvasive evaluation of cardiac hemodynamics, especially for patients with atrial fibrillation, where multiple samples are needed to obtain an accurate averaged measurement. The aim of this study was to develop an automated method for Doppler analysis based on image processing and computer vision algorithms. Images were obtained from the mitral valve and the tricuspid valve Doppler tracings from 45 patients, 20 with normal sinus rhythm and 25 with atrial fibrillation. The proposed algorithm automatically detects the maximal velocity envelope of the spectral Doppler ultrasound tracings. Averaged values for the time velocity integral, peak mitral inflow velocity and peak tricuspid regurgitation velocity were calculated for multiple beats available in a single screen frame. Measurements extracted automatically from the maximal velocity envelope were compared to measurements obtained manually by two expert technicians. High linear correlation (r) was found between the automatically- and the manually-extracted parameters (0.95 < r < 0.99). A smaller variation was found in most cases between the manually-calculated average beat and the automated average beat (bias value between 3.8% and 5.2%) than between the manually-calculated average beat and the selection of a representative beat (bias value between 6.2% and -2.6%). The newly-developed automated method offers a new, accurate and reliable clinical tool, particularly for the assessment of patients with irregular heart rate.

Original languageEnglish
Pages (from-to)1031-1040
Number of pages10
JournalUltrasound in Medicine and Biology
Issue number8
StatePublished - Aug 2005


  • Atrial fibrillation
  • Automated system
  • Blood flow velocity
  • Doppler echocardiography
  • Edge detection
  • Image processing
  • Maximal velocity envelope


Dive into the research topics of 'Doppler echocardiography flow-velocity image analysis for patients with atrial fibrillation'. Together they form a unique fingerprint.

Cite this