title: An improved Doppler model for obtaining accurate maximum blood velocities.
abstract: Maximum blood velocity estimates are frequently required in diagnostic applications, including carotid stenosis evaluation, arteriovenous fistula inspection, and maternal-fetal examinations. However, the currently used methods for ultrasound measurements are inaccurate and often rely on applying heuristic thresholds to a Doppler power spectrum. A new method that uses a mathematical model to predict the correct threshold that should be used for maximum velocity measurements has recently been introduced. Although it is a valuable and deterministic tool, this method is limited to parabolic flows insonated by uniform pressure fields. In this work, a more generalized technique that overcomes such limitations is presented. The new approach, which uses an extended Doppler spectrum model, has been implemented in an experimental set-up based on a linear array probe that transmits defocused steered waves. The improved model has been validated by Field II simulations and phantom experiments on tubes with diameters between 2mm and 8mm. Using the spectral threshold suggested by the new model significantly higher accuracy estimates of the peak velocity can be achieved than are now clinically attained, including for narrow beams and non-parabolic velocity profiles. In particular, an accuracy of +1.2±2.5 cm/s has been obtained in phantom measurements for velocities ranging from 20 to 80 cm/s. This result represents an improvement that can significantly affect the way maximum blood velocity is investigated today.
authors.affiliation: Information Engineering Department, University of Florence, Via S. Marta n. 3, 50139 Firenze, Italy. Electronic address: stefano.ricci@unifi.it.
authors.forename: Stefano
authors.initials: S
authors.lastname: Ricci
authors.affiliation: Information Engineering Department, University of Florence, Via S. Marta n. 3, 50139 Firenze, Italy.
authors.forename: Riccardo
authors.initials: R
authors.lastname: Matera
authors.affiliation: Information Engineering Department, University of Florence, Via S. Marta n. 3, 50139 Firenze, Italy.
authors.forename: Piero
authors.initials: P
authors.lastname: Tortoli
mesh_terms: D001783:Blood Flow Velocity / Q000502:physiology*; D003198:Computer Simulation; D018056:Hemorheology / Q000502:physiology*; D006801:Humans; D008962:Models, Theoretical; D019047:Phantoms, Imaging; D012039:Regional Blood Flow; D014159:Transducers; D018608:Ultrasonography, Doppler / Q000379:methods*
keywords: Blood flow; Doppler spectrum; Maximum velocity measurement