Aim: Our overall aim is to create 3D in vivo microvascular imaging of the renal vasculature in healthy and diabetic rats in real time. Methods-1: Super-resolution ultrasound imaging (SRUS) using intravascular microbubbles (MBs) can generate in vivo images of the renal microcirculation. Spatially separated MBs are followed over numerous image frames to create anatomical vascular images showing MB direction and velocity. Presently, images with a resolution of 50 μm are obtainable. Results-1: As diabetes mellitus is associated with micro- and macrovascular diseases also affecting the kidneys we used SRUS on Zucker Diabetic Fat rats (ZDF) aged 12-, 20- and 40-weeks. We show a significant decrease in vascular density in the cortex at week 12 before onset of proteinuria when compared to age-matched lean Zucker rats. At week 20 vascular density decreased in the outer medulla and inner medulla. No significant changes were found in vascular tortuosity. However, the SRUS images are collected over several minutes, and are challenged by tissue motion and the lack of real-time imaging. The fragile MBs limit emission pressure and thus scan depth. Hypothesis: We hypothesize that tracking erythrocytes instead of MBs will reduce these obstacles and make the method non-invasive. Resolution and scan depth will increase and scan time will shorten. This will allow an easy transition into the clinic. Results-2: Using this innovative method, we have generated images of healthy rat kidneys. Within 24 seconds, we can create an image of the renal vasculature showing the vasa recta (the capillary network penetrating the medulla) and the arcuate and cortical radial arteries. μCT scans have verified the structure of the vascular tree. However, even at these short scan times, there is considerable tissue motion from heart-beat, respiration etc. moving the image out of plane. To clearly image the true microcirculation, 3D imaging is needed. We have recently obtained this amazing step and made a 3D in vivo scan of a healthy rat kidney. The project is funded by an ERC Synergy Grant SURE, project no. 854796. This is the full abstract presented at the American Physiology Summit 2023 meeting and is only available in HTML format. There are no additional versions or additional content available for this abstract. Physiology was not involved in the peer review process.
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