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Journal article

Super-resolution imaging with ultrasound for visualization of the renal microvasculature in rats before and after renal ischemia: A pilot study

From

University of Copenhagen1

Center for Fast Ultrasound Imaging, Biomedical Engineering, Department of Health Technology, Technical University of Denmark2

Department of Health Technology, Technical University of Denmark3

Biomedical Engineering, Department of Health Technology, Technical University of Denmark4

BK Medical ApS5

In vivo monitoring of the microvasculature is relevant since diseases such as diabetes, ischemia, or cancer cause microvascular impairment. Super-resolution ultrasound imaging allows in vivo examination of the microvasculature by detecting and tracking sparsely distributed intravascular microbubbles over a minute-long period.

The ability to create detailed images of the renal vasculature of Sprague-Dawley rats using a modified clinical ultrasound platform was investigated in this study. Additionally, we hypothesized that early ischemic damage to the renal microcirculation could be visualized. After a baseline scan of the exposed kidney, 10 rats underwent clamping of the renal vein (n = 5) or artery (n = 5) for 45 min.

The kidneys were rescanned at the onset of clamp release and after 60 min of reperfusion. Using a processing pipeline for tissue motion compensation and microbubble tracking, super-resolution images with a very high level of detail were constructed. Image filtration allowed further characterization of the vasculature by isolating specific vessels such as the ascending vasa recta with a 15-20 μm diameter.

Using the super-resolution images alone, it was only possible for six assessors to consistently distinguish the healthy renal microvasculature from the microvasculature at the onset of vein clamp release. Future studies will aim at attaining quantitative estimations of alterations in the renal microvascular blood flow using super-resolution ultrasound imaging.

Language: English
Publisher: MDPI
Year: 2020
Pages: 862
ISSN: 20754418
Types: Journal article
DOI: 10.3390/diagnostics10110862
ORCIDs: Taghavi, Iman , 0000-0002-9380-1688 , Jensen, Jørgen Arendt and 0000-0002-9984-3125

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