Vector Doppler imaging of small vessels using directionally filtered Power Doppler images

Conference Paper (2020)
Author(s)

Bas Generowicz (Erasmus MC)

Luuk Verhoef (Erasmus MC)

Frits Mastik (Erasmus MC)

Stefanie Dijkhuizen (Erasmus MC)

Nikki van Dorp (Erasmus MC)

Jason Voorneveld (Erasmus MC)

Johannes Bosch (Erasmus MC)

Karishma Kumar (Student TU Delft)

Geert Leus (TU Delft - Signal Processing Systems)

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Research Group
Signal Processing Systems
DOI related publication
https://doi.org/10.1109/IUS46767.2020.9251356
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Publication Year
2020
Language
English
Research Group
Signal Processing Systems
Bibliographical Note
Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.
Article number
9251356
Pages (from-to)
1-4
ISBN (print)
978-1-7281-5449-7
ISBN (electronic)
978-1-7281-5448-0
Event
IEEE International Ultrasonics Symposium 2020 (2020-09-06 - 2020-09-11), Las Vegas, United States
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Abstract

Power Doppler (PD) imaging has become a staple in high frame rate ultrasound imaging due to its ability to image small vessels and slow-moving flows, such as in the case of imaging blood flow in the brain. Alternatively, color Doppler (CD) can be used to determine the one-dimensional directional information of the blood scatterers. This can help determine if the flow is arterial or venous, or distinguish between adjacent flows that have an opposite direction. Current methods for estimating 2D blood velocity vectors rely mostly on trigonometric solutions using synthetic apertures or, large plane-wave angles in transmission and sub-apertures in receive to be able to resolve the 2D vector. Relative to PD or CD techniques, these methods are more computationally expensive and have not been successfully used to image blood flow direction within micrometer sized vasculature. In this paper, we propose to use the orientations of the vessels derived from a directional spatial filter in combination with the CD signal to enhance the PD images with directional information. This approach was tested on simulated data as well as on a 2D image containing brain vasculature of a mouse.

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