Abstract
Doppler ultrasound techniques play an important role in the investigation of blood flow and, in recent decades, have become standards in cardiovascular medicine. In current clinical practice, an arterial stenosis is evaluated from the maximum blood velocity measured in an echo-Doppler investigation. Unfortunately, the blood Doppler signal produces a relative wide Doppler spectrum, and it is not trivial to detect the exact frequency that corresponds to the maximum velocity through the Doppler formula. The measurement is thus affected by high inaccuracies. In this work, a method based on a mathematical model of the Doppler spectrum is proposed to detect the frequency that corresponds to the maximum velocity. The method has been implemented in a custom electronics system and validated through experiments on a flow phantom. Experiments with flows between 100 and 300 mL/min (peak velocity range 6.6–19.9 cm/s) resulted in a bias lower t han 1% and a standard deviation 4%.
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References
Grant, E., Benson, C., Moneta, G., Alexandrov, A., Baker, J., Bluth E., et al.: Carotid artery stenosis: gray-scale and doppler US diagnosis. Radiology 229(2), 340–346 (2003)
Evans, D., McDicken, W.: Doppler Ultrasound: Physics, Instrumentation and Signal Processing. Wiley, Chichester (2000)
Tortoli, P., Guidi, G., Newhouse, V.: Improved blood velocity estimation using the maximum doppler frequency. Ultrasound Med. Biol. 21(4), 527–532 (1995). https://doi.org/10.1016/0301-5629(94)00137-3
Steinman, A.H., Tavakkoli, J., Myers, J.G., Cobbold, R.S., Johnston, K.W.: Sources of error in maximum velocity estimation using linear phased-array doppler systems with steady flow. Ultrasound Med. Biol. 27(5), 655–664 (2001). https://doi.org/10.1016/S0301-5629(01)00352-0
Marasek, K., Nowicki, A.: Comparison of the performance of three maximum doppler frequency estimators coupled with different spectral estimation methods. Ultrasound Med. Biol. 20(7), 629–638 (1994). https://doi.org/10.1016/0301-5629(94)90111-2
Vilkomerson, D., Ricci, S., Tortoli, P.: Finding the peak velocity in a flow from its doppler spectrum. IEEE Trans. Ultrason. Ferroelect. Freq. Control 60(10), 2079–2088 (2013). https://doi.org/10.1109/tuffc.2013.2798
Ricci, S.: An analytical model of the doppler spectrum for peak blood velocity detection. In: IEEE Ultrasonics Symposium Proceedings, pp. 2241–2244. Chicago (IL) (2014). https://doi.org/10.1109/ultsym.2014.0558
Ricci, S., Liard, M., Birkhofer, B., Lootens, D., Brühwiler, A., Tortoli, P.: Embedded doppler system for industrial in-line rheometry. IEEE Trans. Ultrason. Ferroelect. Freq. Control 59(7), 1395–1401 (2012). https://doi.org/10.1109/tuffc.2012.2340
Ricci, S., Matera, R., Tortoli, P.: An improved doppler model for obtaining accurate maximum blood velocities. Ultrasonics 54(7), 2006–2014 (2014). https://doi.org/10.1016/j.ultras.2014.05.012
Ricci, S., Vilkomerson, D., Matera, R., Tortoli, P.: Accurate blood peak velocity estimation using spectral models and vector doppler. IEEE Trans. Ultrason. Ferroelect. Freq. Control 62(4), 686–696 (2015). https://doi.org/10.1109/tuffc.2015.006982
Ricci, S., Swillens, A., Ramalli, A., Segers, P., Tortoli, P.: Wall shear rate measurement: validation of a new method through multi-physics simulations. IEEE Trans. Ultrason. Ferroelect. Freq. Control 64(1), 66–77 (2017). https://doi.org/10.1109/tuffc.2016.2608442
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Matera, R., Vilkomerson, D., Ricci, S. (2019). Ultrasound Measurement of the Peak Blood Flow Based on a Doppler Spectrum Model. In: Saponara, S., De Gloria, A. (eds) Applications in Electronics Pervading Industry, Environment and Society. ApplePies 2018. Lecture Notes in Electrical Engineering, vol 573. Springer, Cham. https://doi.org/10.1007/978-3-030-11973-7_45
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DOI: https://doi.org/10.1007/978-3-030-11973-7_45
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