Blood velocity estimation using ultrasound and spectral iterative adaptive approaches

Authors:
Erik Gudmundson;Andreas Jakobsson;JøRgen A. Jensen;Petre Stoica
Affiliations:
Department of Mathematical Statistics, Lund University, P.O. Box 118, SE-221 00 Lund, Sweden and Signal Processing Lab, ACCESS Linnaeus Center, KTH - Royal Institute of Technology, SE-100 44 Stock ...;Department of Mathematical Statistics, Lund University, P.O. Box 118, SE-221 00 Lund, Sweden;Center for Fast Ultrasound Imaging, Department of Electrical Engineering, Technical University of Denmark, DK-2800 Kgs. Lyngby, Denmark;Department of Information Technology, Uppsala University, P.O. Box 337, SE-751 05 Uppsala, Sweden
Venue:
Signal Processing
Year:
2011

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Abstract

This paper proposes two novel iterative data-adaptive spectral estimation techniques for blood velocity estimation using medical ultrasound scanners. The techniques make no assumption on the sampling pattern of the emissions or the depth samples, allowing for duplex mode transmissions where B-mode images are interleaved with the Doppler emissions. Furthermore, the techniques are shown, using both simplified and more realistic Field II simulations as well as in vivo data, 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 methods also allow for more flexible transmission patterns, as well as exhibit fewer spectral artifacts as compared to earlier techniques.