Modeling of the parenchymous vascularization and perfusion

Area of Science:

• Biomedical Engineering
• Computational Biology
• Medical Imaging

Background:

• Realistic modeling of parenchymal vascularization and perfusion is crucial for understanding tissue physiology and pathology.
• Existing models may not fully capture the complex processes of vascular growth (angiogenesis) and blood flow dynamics.

Purpose of the Study:

• To develop a realistic three-dimensional (3D) computational model of parenchymal vascularization and perfusion.
• To simulate the angiogenesis process and optimize vascular network structures based on physical laws and anatomical constraints.

Main Methods:

• Developed a 3D vascular model incorporating angiogenesis, Poiseuille's law for blood flow, anatomical constraints, and blood volume optimization.
• Simulated vascular trees from main arteries to arterioles, generating 3D representations using volume rendering.
• Computed geometric and hemodynamic characteristics of simulated vascular networks.

Main Results:

• Successfully simulated vascular trees representing normal and abnormal tissue perfusion, including local hypervascularization.
• Computed geometric and hemodynamic parameters aligned with existing literature data.
• Demonstrated the model's utility in studying contrast agent propagation in both normal and abnormal vasculature.

Conclusions:

• The developed 3D vascular model offers valuable insights into simulating and understanding anatomical and physiological vascular modifications.
• This computational tool can aid in research related to vascular diseases and diagnostic imaging techniques.