Motion-compensated frame rate up-conversion in carotid ultrasound images using optical flow and manifold learning.

Journal: Turk Kardiyoloji Dernegi arsivi : Turk Kardiyoloji Derneginin yayin organidir
PMID: 31802770

Abstract

OBJECTIVE: Carotid ultrasonography is a reliable and non-invasive method to evaluate atherosclerosis disease and its complications. B-mode cineloops are widely used to assess the severity of atherosclerosis and its progression; ho- wever, tracking rapid wall motions of the carotid artery is still a challenging issue due the low frame rate. The aim of this paper was to present a new hybrid frame rate up-conversion (FRUC) method that accounts for motion based on manifold learning and optical flow.

Authors

  • Fereshteh Yousefi Rizi
    Department of Biomedical Engineering, Islamic Azad University of South Tehran Branch, Tehran, Iran.
  • Sima Navabian
    Department of Biomedical Engineering, Islamic Azad University of South Tehran Branch, Tehran, Iran.
  • Zahra Alizadeh Sani
    Department of Rajaie Cardiovascular Medical and Research Center, Iran University of Medical Sciences, Tehran, Iran.

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