Computational fluid dynamics in cardiovascular disease.

Area of Science:

• Biomedical Engineering
• Computational Science

Background:

• Computational fluid dynamics (CFD) is a powerful simulation tool widely used in mechanical engineering.
• Its application in biomedicine is growing due to increased accessibility of high-performance computing and software.
• The complexity of human physiological fluid dynamics has historically limited its biomedical adoption.

Purpose of the Study:

• To highlight the growing role and potential of CFD in biomedical research.
• To discuss the methodologies and applications of CFD in understanding human physiological systems.
• To emphasize the importance of interdisciplinary collaboration for advancing CFD in medicine.

Main Methods:

• Utilizing medical imaging (ultrasound, CT, MRI) for accurate geometric modeling.
• Employing boundary conditions derived from Doppler ultrasound, pressure wires, and non-invasive measurements.
• Performing computational simulations to analyze fluid flow and heat transfer in biological systems.

Main Results:

• CFD simulations have been successfully applied to study various cardiovascular and cerebrovascular diseases.
• These include congenital heart disease, heart failure, aortic disease, and cerebrovascular conditions.
• CFD aids in optimizing device design and understanding disease pathophysiology.

Conclusions:

• CFD is becoming an increasingly valuable tool for biomedical research and clinical applications.
• Interdisciplinary collaboration between engineers and medical scientists is crucial for its effective implementation.
• CFD holds significant potential for advancing disease understanding and developing novel treatment strategies in the cardiovascular field.