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Abstract #2826

An automatic method to estimate 3D Pulse Wave Velocity from 4D-flow MRI data

Joaquin Mura1, Julio Sotelo1, Cristian Montalba1, Bram Ruijsink2, David Nordsletten2, Reza Razavi2, Pablo Irarrazaval1,3, Cristian Tejos1,3, Marcelo Andia1,4, and Sergio Uribe1,4

1Biomedical Imaging Center, Pontificia Universidad Catolica de Chile, Santiago, Chile, 2Department of Biomedical Engineering, King's College London, London, United Kingdom, 3Department of Electrical Engineering, Pontificia Universidad Catolica de Chile, Santiago, Chile, 4Department of Radiology, School of Medicine, Pontificia Universidad Catolica de Chile, Santiago, Chile

One of the most common and well-accepted biomarkers for Cardiovascular diseases is the Pulse Wave Velocity (PWV), related with the time-shift observed in pressure or flow waveforms along the artery. Some drawbacks in its application can be summarized as data often collected by catheterization or separated 2D flow planes, centerlines do not necessarily coincide with the path followed by wavefronts and, the methods are user-dependent. We propose a novel method for PWV avoiding centerlines by evaluating flows over wavefronts to improve results. A systematic analysis of phantom scans and to a set of volunteers and patients show promising results.

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