Integration of the computational fluid dynamics technique with MRI in aortic dissections

Area of Science:

• Cardiovascular Medicine
• Medical Imaging
• Biomedical Engineering

Background:

• Prognosis for Type III/Stanford B aortic dissections (TB-AD) is often poor, with a significant mortality rate despite treatment.
• Unfavorable hemodynamics are suspected to increase false lumen pressure and lead to complications in TB-AD patients.
• A patient-specific approach is crucial due to the diverse morphology and hemodynamics of TB-AD.

Purpose of the Study:

• To explore the synergy of magnetic resonance imaging (MRI) and computational fluid dynamics (CFD) for characterizing TB-AD.
• To enhance understanding of TB-AD hemodynamics for improved therapeutic decision-making.
• To provide a comprehensive morphological and hemodynamic assessment of individual TB-AD cases.

Main Methods:

• Utilizing MRI for high-resolution imaging of aortic lumen and wall structure.
• Quantifying aortic flow and tracer kinetics using MRI.
• Performing CFD simulations based on MRI-derived data to augment hemodynamic information.

Main Results:

• MRI provides detailed structural and kinetic data essential for hemodynamic analysis.
• CFD simulations can integrate MRI data to create patient-specific hemodynamic models.
• The combined MRI-CFD approach offers a comprehensive characterization of TB-AD.

Conclusions:

• The integration of MRI and CFD presents a powerful, synergistic approach for TB-AD assessment.
• This combined modality facilitates a deeper understanding of individual patient hemodynamics.
• This patient-specific characterization holds promise for improving treatment strategies and patient outcomes in TB-AD.