An Eulerian segment-matching method for blood-flow velocity estimation using pulsed ultrasound RF echoes.

概要

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An efficient segment-matching method is presented for blood-flow velocity estimation using pulsed ultrasound RF echo-signals. In contrast to other motion-tracking methods, this approach estimates the blood flow based on the well-known Eulerian standpoint rather than the Lagrangian standpoint used in most of time-domain correlation techniques in medical ultrasound. The time shift corresponding to the displacement the local scatterers (blood cells) moved during the pulse repetition period is assessed by comparing the patterns of each pair of sampled segments within a predefined search area. All pairs of sampled segments used for comparison are selected to be symmetrical about the observation point inside the pair of consecutive echo-signals. The error analysis via computer simulation demonstrates that the Eulerian segment-matching method proposed here is more suitable and more reliable for the case of blood-flow velocity estimation relative to the Lagrangian method. The maximum detectable velocity which is limited by the size of the search area in time-domain techniques can be improved twice as much as that in conventional tracking methods, and the percentage of false velocity estimates as a function of velocity distribution of multiple scatterers is also lower than that in the Lagrangian tracking method.
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