Contrast-enhanced plane-wave ultrasound imaging of the rat eye. Academic Article uri icon

Overview

abstract

  • Preclinical imaging, especially of rodent models, plays a major role in experimental ophthalmology. Our aim was to determine if ultrasound can be used to visualize and measure flow dynamics in the retrobulbar vessels supplying and draining the eye and the potential of contrast microbubbles to provide image and measurement enhancement. To accomplish this, we used a 128-element, 18 MHz linear array ultrasound probe and performed plane-wave imaging of the eyes of Sprague Dawley rats. Compound images were acquired by emitting unfocused wavefronts at multiple angles and combining echo data from all angles to form individual B-scans. Multiple imaging sequences were utilized, compounding up to six angles, with imaging rate of up to 3000 compound B-scans per second and sequence durations from 1.5 to 180 s. Data were acquired before and after intravenous introduction of contrast microbubbles. We found the total power of the Doppler signal in the image plane to increase approximately 20 fold after injection of contrast, followed by an exponential decay to baseline in about 90 s, The best-fit time constant of the decay averaged 41 s. While major vessels and the retinal/choroidal complex were evident pre-contrast, they were dramatically enhanced with contrast present, with details such as choroidal arterioles seen only with contrast. Ocular arteriovenous transit time determined from comparative enhancement curves in arteries and veins was approximately 0.2 s. In conclusion, plane wave ultrasound, especially with enhancement by contrast microbubbles, offers a means for the study of ocular hemodynamics using the rat eye as a model.

publication date

  • February 29, 2020

Research

keywords

  • Contrast Media
  • Ophthalmic Artery
  • Orbit
  • Phantoms, Imaging
  • Regional Blood Flow
  • Ultrasonography

Identity

PubMed Central ID

  • PMC7113110

Scopus Document Identifier

  • 85081230088

Digital Object Identifier (DOI)

  • 10.1016/j.exer.2020.107986

PubMed ID

  • 32119869

Additional Document Info

volume

  • 193