Determining Haemodynamic Wall Shear Stress in the Rabbit Aorta In Vivo Using Contrast-Enhanced Ultrasound Image Velocimetry
| Autor: | Chee Hau Leow, Peter D. Weinberg, Meng-Xing Tang, Kai Riemer, Ethan M. Rowland |
|---|---|
| Přispěvatelé: | Engineering & Physical Science Research Council (EPSRC) |
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
Technology
Materials science FLOW Pulsatile flow Biomedical Engineering Contrast Media 030204 cardiovascular system & hematology 09 Engineering 030218 nuclear medicine & medical imaging Wall tracking 03 medical and health sciences 0302 clinical medicine Engineering Renal Artery Celiac Artery medicine.artery Suprarenal Aorta medicine Shear stress Thoracic aorta Vector flow imaging Animals VITRO Aorta Abdominal Engineering Biomedical 11 Medical and Health Sciences Ultrasonography Science & Technology Cardiac cycle Echo PIV Abdominal aorta Hemodynamics WSS Velocimetry Atherosclerosis PIV Coronary heart disease Flow velocity cardiovascular system Original Article Rabbits Stress Mechanical Rheology UIV Biomedical engineering circulatory and respiratory physiology |
| Zdroj: | Annals of Biomedical Engineering |
| ISSN: | 1573-9686 0090-6964 |
| Popis: | Abnormal blood flow and wall shear stress (WSS) can cause and be caused by cardiovascular disease. To date, however, no standard method has been established for mapping WSS in vivo. Here we demonstrate wide-field assessment of WSS in the rabbit abdominal aorta using contrast-enhanced ultrasound image velocimetry (UIV). Flow and WSS measurements were made independent of beam angle, curvature or branching. Measurements were validated in an in silico model of the rabbit thoracic aorta with moving walls and pulsatile flow. Mean errors over a cardiac cycle for velocity and WSS were 0.34 and 1.69%, respectively. In vivo time average WSS in a straight segment of the suprarenal aorta correlated highly with simulations (PC = 0.99) with a mean deviation of 0.29 Pa or 5.16%. To assess fundamental plausibility of the measurement, UIV WSS was compared to an analytic approximation derived from the Poiseuille equation; the discrepancy was 17%. Mapping of WSS was also demonstrated in regions of arterial branching. High time average WSS (TAWSSxz = 3.4 Pa) and oscillatory flow (OSIxz = 0.3) were observed near the origin of conduit arteries. In conclusion, we have demonstrated that contrast-enhanced UIV is capable of measuring spatiotemporal variation in flow velocity, arterial wall location and hence WSS in vivo with high accuracy over a large field of view. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|
Full text from SpringerLink