Validation of an aging virtual population for the study of carotid hemodynamics

Area of Science:

• Biomedical Engineering
• Cardiovascular Physiology
• Medical Imaging Analysis

Background:

• Carotid ultrasound (US) waveforms offer insights into cardiovascular and circulatory health.
• Analysis of flow, velocity, and diameter waveforms can reveal atherosclerosis, vascular aging, and hemodynamic status.
• Understanding waveform morphology variability is crucial for clinical interpretation.

Purpose of the Study:

• To develop and validate a computational model for simulating carotid ultrasound waveforms.
• To create a virtual population representing healthy individuals aged 10-80 years.
• To establish a tool for linking carotid waveform characteristics to underlying hemodynamic and cardiovascular properties.

Main Methods:

• Utilized a one-dimensional modeling approach.
• Developed and validated a virtual population capable of realistic carotid waveform simulation.
• Focused on simulating waveforms for healthy subjects across a wide age range.

Main Results:

• Successfully generated a virtual population of carotid waveforms.
• The simulated waveforms realistically represent healthy individuals aged 10-80 years.
• The model provides a basis for understanding waveform morphology-hemodynamic relationships.

Conclusions:

• The virtual population of carotid waveforms supports the interpretation of clinical US patient data.
• This tool can investigate the relationship between waveform morphology, derived indices, and individual arterial/cardiac properties.
• Facilitates deeper understanding of hemodynamics and vascular aging through non-invasive US imaging.