Ultrasound Microvascular Imaging Protocol

The ultrasound microvascular real-time imaging was established using a novel technology of the Mindray Resona R9 ultrasound imaging platform. Benefitting from the CPU/GPU processing performance of the Resona R9 platform, UMA acquires high-quality raw ultrasonic signals through the ultrasonic plane wave/divergent wave (hereinafter referred to as plane wave) at high efficiency and utilizes an advanced tissue-rejection algorithm to intelligently remove tissue clutter from raw signals. These two core techniques allow UMA to break through the technical bottleneck of traditional Color Doppler Flow Imaging, that greatly improving the sensitivity and spatial resolution of blood flow detection, and visualizes microvascular architecture undetectable by traditional CDFI.

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Jung E.M., Dong Y, & Jung F. (2023). Current aspects of multimodal ultrasound liver diagnostics using contrast-enhanced ultrasonography (CEUS), fat evaluation, fibrosis assessment, and perfusion analysis – An update. Clinical Hemorheology and Microcirculation, 83(2), 181-193.

Publication 2023

Blood flow Clutter Sensitivity Tissue Ultrasonic wave Ultrasound

Corresponding Organization : University Hospital Regensburg

Other organizations : XinHua Hospital, Brandenburg University of Technology Cottbus-Senftenberg

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Variable analysis

independent variables

Mindray Resona R9 ultrasound imaging platform
CPU/GPU processing performance of the Resona R9 platform
Ultrasonic plane wave/divergent wave (referred to as plane wave)
Advanced tissue-rejection algorithm

dependent variables

Quality of raw ultrasonic signals
Sensitivity and spatial resolution of blood flow detection
Visualization of microvascular architecture

control variables

Not explicitly mentioned

controls

No positive or negative controls were explicitly mentioned in the input protocol.

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