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Conference paper

Transverse correlation: An efficient transverse flow estimator - initial results

From

Biomedical Engineering, Department of Electrical Engineering, Technical University of Denmark1

Department of Electrical Engineering, Technical University of Denmark2

Center for Fast Ultrasound Imaging, Centers, Technical University of Denmark3

Color flow mapping has become an important clinical tool, for diagnosing a wide range of vascular diseases. Only the velocity component along the ultrasonic beam is estimated, so to find the actual blood velocity, the beam to flow angle has to be known. Because of the unpredictable nature of vascular hemodynamics, the flow angle cannot easily be found as the angle is temporally and spatially variant.

Additionally the precision of traditional methods is severely lowered for high flow angles, and they breakdown for a purely transverse flow. To overcome these problems we propose a new method for estimating the transverse velocity component. The method measures the transverse velocity component by estimating the transit time of the blood between two parallel lines beamformed in receive.

The method has been investigated using simulations performed with Field II. Using 15 emissions per estimate, a standard deviation of 1.64% and a bias of 1.13% are obtained for a beam to flow angle of 90 degrees. Using the same setup a standard deviation of 2.21% and a bias of 1.07% are obtained for a beam to flow angle of 75 degrees.

Using 20 emissions a standard deviation of 3.4% and a bias of 2.06% are obtained at 45 degrees. The method performs stable down to a signal-to-noise ratio of 0 dB, where a standard deviation of 5.5% and a bias of 1.2% is achieved.

Language: English
Publisher: IEEE
Year: 2008
Pages: 1619-1622
Proceedings: 2008 IEEE International Ultrasonics Symposium
Series: I E E E International Ultrasonics Symposium. Proceedings
ISBN: 1424424283 , 1424424801 , 9781424424283 and 9781424424801
ISSN: 15513025 and 10510117
Types: Conference paper
DOI: 10.1109/ULTSYM.2008.0395
ORCIDs: Jensen, Jørgen Arendt

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