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Updated: Jun 19, 2026

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Ultrasound-based Pulse Wave Velocity Evaluation in Mice
Published on: February 14, 2017
Multichannel pulsed Doppler signal processing for vascular measurements in mice
Anilkumar K Reddy1, Sridhar Madala, Alan D Jones
1Section of Cardiovascular Sciences, Department of Medicine, Baylor College of Medicine, Houston, TX 77030, USA. areddy@bcm.edu
Ultrasound in Medicine & Biology
|October 27, 2009
Summary
A new ultrasound system (MVRS) enables precise measurement of mouse vascular dynamics. This tool aids in evaluating vascular disease models by assessing blood flow and mechanics with high accuracy.
Area of Science:
- Biomedical Engineering
- Cardiovascular Research
- Medical Imaging
Background:
- Mouse models are crucial for studying vascular disease.
- Existing methods lack the necessary resolution for murine vascular research.
- High-fidelity measurement of physiological parameters in mice is challenging.
Purpose of the Study:
- To develop and evaluate an ultrasound-based system for mouse vascular research (MVRS).
- To enable detailed characterization of vascular physiology in various mouse models.
- To improve the assessment and screening of vascular diseases in mice.
Main Methods:
- Utilized multiple 10/20MHz ultrasound transducers and advanced Doppler techniques.
- Developed specialized analog and digital electronics for signal acquisition and processing.
- Integrated PC-based software for real-time and off-line data analysis.
Main Results:
- The MVRS achieved high spatial and temporal resolutions for tissue displacement and velocity.
- Demonstrated capability to measure micro-displacements (0.1 μm) and velocities from 0 μm/s.
- Accurately measured high blood velocities (up to 9 m/s) with 0.1 ms temporal resolution.
- Ex vivo validation showed high correlation (R²=0.99) with video pixel tracking.
Conclusions:
- The developed MVRS is a powerful tool for quantitative vascular research in mice.
- The system facilitates comprehensive analysis of vascular mechanics and hemodynamics.
- MVRS significantly impacts the evaluation and screening of vascular diseases in murine models.

