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Shear rate estimation using a clinical ultrasound scanner
F Forsberg1, Z Morvay, N M Rawool
1Department of Radiology, Thomas Jefferson University, Philadelphia, Pennsylvania, USA.
Summary
This study demonstrates that ultrasound can estimate shear rates, which are significantly higher in stenotic vessels compared to normal ones. This finding aids in understanding blood flow dynamics in atherosclerosis.
Area of Science:
- Cardiovascular Science
- Medical Imaging
- Biomedical Engineering
Background:
- Wall shear stress is implicated in atherogenesis and thrombus formation.
- Direct measurement of wall shear stress using ultrasonography is challenging.
- Shear rates offer an alternative metric for assessing blood flow dynamics.
Purpose of the Study:
- To evaluate the feasibility of estimating shear rates using clinical ultrasound.
- To compare shear rates in normal versus stenotic vessels both in vitro and in vivo.
- To investigate the relationship between shear rates and vessel stenosis.
Main Methods:
- Utilized a clinical ultrasound scanner (P700) with color M-mode imaging to obtain velocity profiles.
- Calculated maximum shear rates offline as maximum velocity gradients.
- Conducted in vitro studies using a flow phantom with a 50% stenosis model.
- Performed in vivo studies on the internal carotid artery of volunteers and patients with stenoses.
Main Results:
- In vitro: Shear rates within the stenosis were significantly higher (P < 0.00001) and more variable than outside.
- In vivo: Mean shear rate in normal internal carotid arteries was 414 s⁻¹ ± 154.5 s⁻¹.
- In vivo: Mean shear rate in stenotic internal carotid arteries was significantly higher at 687 s⁻¹ ± 263.5 s⁻¹ (P = 0.00017).
Conclusions:
- Clinical ultrasound, specifically color M-mode imaging, can effectively estimate shear rates.
- Estimated shear rates are significantly elevated in stenotic vessels compared to normal vessels, both in vitro and in vivo.
- Shear rate estimation via ultrasound provides a valuable, non-invasive method for assessing hemodynamic changes in vascular diseases.