AI Article Synopsis
- The study investigated the effectiveness of a new ultrasound technique for imaging kidney blood vessels in pigs using a specialized device called a sparse spiral array.
- Researchers used different microbubble concentrations and transmission sequences to capture detailed 3D images and assess blood flow in the kidneys, comparing their findings to results from a standard 2-D ultrasound.
- The results showed that the new method successfully visualized kidney vasculature and blood flow, providing accurate and reliable data that matched traditional ultrasound results.
Article Abstract
Objective: The aim of this study was to assess the feasibility and imaging options of contrast-enhanced volumetric ultrasound kidney vasculature imaging in a porcine model using a prototype sparse spiral array.
Methods: Transcutaneous freehand in vivo imaging of two healthy porcine kidneys was performed according to three protocols with different microbubble concentrations and transmission sequences. Combining high-frame-rate transmission sequences with our previously described spatial coherence beamformer, we determined the ability to produce detailed volumetric images of the vasculature. We also determined power, color and spectral Doppler, as well as super-resolved microvasculature in a volume. The results were compared against a clinical 2-D ultrasound machine.
Results: Three-dimensional visualization of the kidney vasculature structure and blood flow was possible with our method. Good structural agreement was found between the visualized vasculature structure and the 2-D reference. Microvasculature patterns in the kidney cortex were visible with super-resolution processing. Blood flow velocity estimations were within a physiological range and pattern, also in agreement with the 2-D reference results.
Conclusion: Volumetric imaging of the kidney vasculature was possible using a prototype sparse spiral array. Reliable structural and temporal information could be extracted from these imaging results.
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| http://dx.doi.org/10.1016/j.ultrasmedbio.2023.08.009 | DOI Listing |
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