Patient-Specific Inverse Modeling of In Vivo Cardiovascular Mechanics with Medical Image-Derived Kinematics as Input...

Area of Science:

• Cardiovascular Biomechanics
• Medical Imaging Analysis
• Computational Modeling

Background:

• Inverse modeling provides non-invasive, patient-specific estimations of cardiovascular tissue properties and mechanical loads.
• Advances in image-based kinematics, cardiovascular theory, and computational science enable these methods.
• Multidisciplinary applications require tailored solutions for clinical data and specific pathologies.

Purpose of the Study:

• To review biomechanical modeling and simulation principles for inverse problems in cardiovascular mechanics.
• To detail image-based kinematic analysis techniques relevant to cardiovascular applications.
• To summarize advances in human cardiovascular inverse modeling since the early 2000s.

Main Methods:

• Review of biomechanical modeling and simulation principles.
• Analysis of methods for solving inverse problems.
• Examination of image-based kinematic analysis techniques.
• Synthesis of studies incorporating tissue mechanics, hemodynamics, and fluid-structure interaction.

Main Results:

• Selected studies demonstrate applications in healthy and diseased hearts, aortas, and pulmonary arteries.
• Patient-specific data from medical imaging are crucial for inverse modeling approaches.
• Integration of tissue mechanics, hemodynamics, and fluid-structure interaction yields valuable insights.

Conclusions:

• Inverse modeling offers a powerful, non-invasive tool for assessing cardiovascular mechanics and risk.
• Continued development in computational methods and imaging enhances clinical applicability.
• These approaches hold significant potential for improving cardiovascular diagnosis and treatment planning.