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 100mL/min and 300mL/min (peak velocity range 6.6cm/s to 19.9cm/s) resulted in a bias lower t han 1% and a standard deviation 4%.

Ultrasound Measurement of the Peak Blood Flow Based on a Doppler Spectrum Model / Riccardo Matera, David Vilkomerson, Stefano Ricci. - STAMPA. - 550:(2019), pp. 383-389. (Intervento presentato al convegno Applepies 2018 tenutosi a Pisa nel 26-27 settembre 2018) [10.1007/978-3-030-11973-7_45].

Ultrasound Measurement of the Peak Blood Flow Based on a Doppler Spectrum Model

Riccardo Matera;Stefano Ricci
2019

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 100mL/min and 300mL/min (peak velocity range 6.6cm/s to 19.9cm/s) resulted in a bias lower t han 1% and a standard deviation 4%.
2019
Applications in Electronics Pervading Industry, Environment and Society, Lecture Notes in Electrical Engineering
Applepies 2018
Pisa
26-27 settembre 2018
Riccardo Matera, David Vilkomerson, Stefano Ricci
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Utilizza questo identificatore per citare o creare un link a questa risorsa: https://hdl.handle.net/2158/1137030
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