An Iterative Adaptive Approach for Blood Velocity Estimation Using Ultrasound

Erik Gudmundson, Andreas Jakobsson, Jørgen Arendt Jensen, Petre Stoica

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    This paper proposes a novel iterative data-adaptive spectral estimation technique for blood velocity estimation using medical ultrasound scanners. The technique makes no assumption on the sampling pattern of the slow-time or the fast-time samples, allowing for duplex mode transmissions where B-mode images are interleaved with the Doppler emissions. Furthermore, the technique is shown, using both simplified and more realistic Field II simulations, to outperform current state-of-the-art techniques, allowing for accurate estimation of the blood velocity spectrum using only 30% of the transmissions, thereby allowing for the examination of two separate vessel regions while retaining an adequate updating rate of the B-mode images. In addition, the proposed method also allows for more flexible transmission patterns, as well as exhibits fewer spectral artifacts as compared to earlier techniques.
    Original languageEnglish
    Title of host publicationEuropean Signal Processing Conference
    Publication date2010
    Publication statusPublished - 2010
    Event18th European Signal Processing Conference - Aalborg, Denmark
    Duration: 23 Aug 201027 Aug 2010
    Conference number: 18


    Conference18th European Signal Processing Conference


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