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Integrating Structural and Functional Ultrasound Carotid Assessment in a Single Software Platform: Development and
Elisabetta Bianchini1, Stefan Orter2, Siegfried Wassertheurer3
1National Research Council (CNR), Institute of Clinical Physiology, Pisa, Italy.
Ultrasound in Medicine & Biology
|May 27, 2026
Summary
A new integrated software platform combines ultrasound imaging and advanced algorithms for comprehensive vascular health assessment. This tool offers repeatable and accurate measurements of structural and hemodynamic parameters, improving clinical and research applications.
Area of Science:
- Cardiovascular imaging and hemodynamics
- Medical software development
- Vascular biomechanics
Background:
- Vascular health assessment requires integrating structural and functional parameters, often from fragmented technologies.
- Current methods utilize diverse signals like imaging and tonometry, leading to data silos.
- A unified approach is needed for comprehensive vascular analysis.
Purpose of the Study:
- To develop a novel software platform for combined ultrasound-based analysis of carotid longitudinal scans.
- To evaluate the technical performance and usability of the integrated system.
- To enable simultaneous acquisition of structural and hemodynamic vascular parameters.
Main Methods:
- Integration of validated software (ARCSolver, Carotid Studio) with novel components.
- Development of a unified processing pipeline and shared data architecture.
- Implementation of a generalized transfer function (newGTF) for ultrasound-based aortic waveforms and Pulse Wave Analysis.
Main Results:
- The software provides an intuitive interface for comprehensive carotid analysis from single ultrasound acquisitions.
- Derived functional parameters showed good repeatability and correlation with reference methods.
- The system demonstrated excellent usability, indicating potential for clinical and research use.
Conclusions:
- The integrated solution facilitates comprehensive vascular assessment within a single software environment.
- This approach simplifies the acquisition of multiple vascular measurements.
- It holds promise for advancing both clinical practice and research in vascular health.
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