Computational Fluid Dynamics (CFD) for Blood Flow in Cardiovascular Medical Devices and Blood Damage Prediction

Simple item page
dc.contributor.authorNiyonkuru, Venant
dc.date.accessioned2023-09-14T09:00:31Z
dc.date.available2023-09-14T09:00:31Z
dc.date.issued2023
dc.descriptionArticleen_US
dc.description.abstractBackground: The hemodynamic performance of cardiovascular medical devices and their potential to cause blood damage are critical factors in ensuring patient safety and device efficacy. Computational Fluid Dynamics (CFD) has emerged as a valuable tool for simulating blood flow within these devices and predicting the risk of blood damage. Objectives: This study aims to utilize CFD simulations to evaluate the local hemodynamic performance of a particular implantable device and to provide precise predictions about likely adverse clinical effects, cutting-edge techniques like laser doppler anemometry (LDA) or particle image velocimetry (PIV) must be accessible. Methods: A patient-specific CFD model of the cardiovascular system and medical devices was developed based on medical imaging data. Hemodynamic parameters such as shear stress and flow recirculation were computed to identify regions of potential blood damage. The simulations were validated against data. Results: The CFD simulations revealed intricate flow patterns and areas of concern within the medical devices. Elevated shear stresses and prolonged residence times were identified in certain regions, indicating a risk of blood damage. By quantifying these parameters, the study provided a comprehensive assessment of potential blood damage locations and severity levels. Conclusion: CFD proved to be a robust approach for evaluating blood flow within cardiovascular devices and predicting potential blood damage. The study highlighted specific design modifications that could mitigate the risk of blood damage, thus contributing to the improvement of device safety. The integration of CFD with patient-specific data offers clinicians and engineers a powerful tool for optimizing cardiovascular device design and minimizing patient risken_US
dc.identifier.citationNiyonkuru, V. (2023). Computational Fluid Dynamics (CFD) for blood flow in cardiovascular medical devices and blood damage prediction.en_US
dc.identifier.other10.22034/NCM.2023.408048.1101
dc.identifier.urihttp://ir-library.ku.ac.ke/handle/123456789/26957
dc.language.isoenen_US
dc.publisherNCMen_US
dc.subjectShear Stressen_US
dc.subjectHemolysis predictionen_US
dc.subjectDevices Optimizationen_US
dc.subjectCardiovascular implantsen_US
dc.subjectFluid Dynamicsen_US
dc.subjectDamage Predictionen_US
dc.titleComputational Fluid Dynamics (CFD) for Blood Flow in Cardiovascular Medical Devices and Blood Damage Predictionen_US
dc.typeArticleen_US
Files
Original bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
Computational Fluid Dynamics (CFD) for blood flow in cardiovascular....pdf
Size:
398.04 KB
Format:
Adobe Portable Document Format
Description:
Full text Article
Download
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.71 KB
Format:
Item-specific license agreed upon to submission
Description:
Download
Collections
RP-Department of Mathematics