Spatiotemporal Filtering for Synthetic Aperture Slow Flow Imaging

Guillermo Galan Olleros, Carlos Armando Villagomez Hoyos, Kristoffer Lindskov Hansen, Matthias Bo Stuart, Jorgen Arendt Jensen

4 Citations (Scopus)

Abstract

In this study, power Doppler images (PD) are obtained using a duplex synthetic aperture (SA) sequence with continuous data. Focused spherical waves are emitted in human in-vivo tissue with a handheld probe. To overcome the effects of motion blur, microvascular flow detection is enhanced by using a spatiotemporal higher order singular value decomposition (HOSVD) filter. Images of testicular parenchyma and vasculature in the carotid region were acquired from healthy volunteers. The data were acquired with an effective fPRF of 2.08 kHz and beamformed using Synthetic Transmit Aperture beamforming. A second temporal axis was obtained by grouping the received signals in Doppler frames of 32 consecutive acquisitions. The time between Doppler frames is 15 ms (65 Hz), giving a sampling interval that represents the slow flow variation. Doppler frames were processed using a HOSVD filter, taking into account the 2 temporal dimensions and the spatial dimension. Power Doppler images were obtained for the soft tissue in proximity to the common carotid artery and the testicular parenchyma. In the latter case the imaged vessels are under 1 mm in diameter and the velocity of the flow within them is below 0.5 cm/s. This preliminary study with in-vivo data supports the use of sparse synthetic aperture sequences combined with eigen-filtering for slow flow imaging in human tissue.

Original languageEnglish
Title of host publication2018 IEEE International Ultrasonics Symposium (IUS)
Number of pages4
PublisherIEEE
Publication date17 Dec 2018
Article number18326634
DOIs
Publication statusPublished - 17 Dec 2018
Event2018 IEEE International Ultrasonics Symposium (IUS) - Kobe
Duration: 22 Oct 201825 Oct 2018

Conference

Conference2018 IEEE International Ultrasonics Symposium (IUS)
LocationKobe
Period22/10/201825/10/2018
SeriesIEEE International Ultrasonics Symposium Proceedings

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