Vector flow estimation in medical ultrasound using deep learning neural networks
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Oct 6, 2020
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Oct 6, 2020
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A method and system are provided to characterize blood flow dynamics in vivo. A Doppler acquisition is obtained in vivo with two or more transmit-receive event pairs at different angles from which three-dimensional angle-resolved RF data is determined. Four-dimensional dimensional angle-resolved RF data is obtained by repeating these steps. The four-dimensional angle-resolved RF data is then provided as input to a trained neural network which outputs spatially resolved flow velocities in multiple blood flow dimensions. From these outputs one could further derive and display temporal hemodynamic flow velocity profiles in the multiple blood flow dimensions at a given spatial location.
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