• DocumentCode
    179998
  • Title

    Data adaptive estimation of transversal blood flow velocities

  • Author

    Pirnia, E. ; Jakobsson, Andreas ; Gudmundson, E. ; Jensen, John A.

  • Author_Institution
    Dept. of Math. Stat., Lund Univ., Lund, Sweden
  • fYear
    2014
  • fDate
    4-9 May 2014
  • Firstpage
    6637
  • Lastpage
    6641
  • Abstract
    The examination of blood flow inside the body may yield important information about vascular anomalies, such as possible indications of, for example, stenosis. Current medical ultrasound systems suffer from only allowing for measuring the blood flow velocity along the direction of irradiation, posing natural difficulties due to the complex behaviour of blood flow, and due to the natural orientation of most blood vessels. Recently, a transversal modulation scheme was introduced to induce also an oscillation along the transversal direction, thereby allowing for the measurement of also the transversal blood flow. In this paper, we propose a novel data-adaptive blood flow estimator exploiting this modulation scheme. Using realistic Field II simulations, the proposed estimator is shown to achieve a notable performance improvement as compared to current state-of-the-art techniques.
  • Keywords
    biomedical ultrasonics; blood flow measurement; blood vessels; velocity measurement; blood flow velocity measurement; blood vessels; complex behaviour; data-adaptive blood flow estimator; irradiation direction; medical ultrasound systems; modulation scheme; natural orientation; realistic field II simulations; stenosis; transversal blood flow velocities; transversal direction; transversal modulation; vascular anomalies; Blood; Estimation; Modulation; Oscillators; Transducers; Ultrasonic imaging; Vectors; BIAA; Medical ultrasound; Spectral estimation; Transversal blood velocity estimation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech and Signal Processing (ICASSP), 2014 IEEE International Conference on
  • Conference_Location
    Florence
  • Type

    conf

  • DOI
    10.1109/ICASSP.2014.6854884
  • Filename
    6854884