A workflow for patient-individualized virtual angiogram generation based on CFD simulation.

Area of Science:

• Biomedical Engineering
• Medical Imaging
• Fluid Dynamics

Background:

• Hemodynamic parameters are crucial for classifying cerebral aneurysm rupture risk and guiding treatment.
• Computational fluid dynamics (CFD) enables numerical simulation of blood flow to derive these parameters.
• Virtual angiograms, derived from CFD, are increasingly used to validate simulation results against real patient data.

Purpose of the Study:

• To present and demonstrate a workflow for generating patient-specific virtual angiograms.
• To incorporate patient-specific parameters for accurate virtual angiogram generation.
• To facilitate the comparison between virtual and acquired angiograms for validation.

Main Methods:

• Utilizing computational fluid dynamics (CFD) for blood flow simulation.
• Generating virtual angiograms based on CFD results.
• Incorporating multiple patient-specific parameters into the virtual angiogram generation process.

Main Results:

• A demonstrated workflow for creating virtual angiograms from CFD data.
• Successful incorporation of patient-specific parameters to enhance virtual angiogram realism.
• Validation of the method through application in phantom and patient cases.

Conclusions:

• The presented workflow enables the generation of accurate, patient-specific virtual angiograms.
• This method supports the validation of CFD-derived hemodynamic parameters for cerebral aneurysms.
• Improved risk classification and treatment planning for cerebral aneurysms are potential outcomes.