Pioneering Patient-Specific Approaches for Precision Surgery Using Imaging and Virtual Reality

Area of Science:

• Interventional Radiology
• Medical Imaging
• Cardiovascular Surgery

Background:

• Open surgical procedures were historically the sole treatment for complex vascular anomalies.
• Advancements in catheter technology and operator skill enable minimally invasive endovascular approaches.

Purpose of the Study:

• To describe a method for utilizing 3D models to pre-plan endovascular procedures.
• To enhance catheterization lab efficiency and accuracy through advanced imaging analysis.

Main Methods:

• Generation of 3D anatomical models from 3D Digital Imaging and Communications in Medicine (DICOM) datasets.
• Prediction of C-arm positions and critical 2D measurements from 3D models.
• Creation of 2D fluoroscopy roadmap analogs for procedural guidance.

Main Results:

• The described method allows for detailed pre-procedural analysis of patient-specific pathology.
• Accurate 2D measurements of 3D structures can be derived from 3D models.
• Generated roadmap analogs can assist in optimizing C-arm positioning during interventions.

Conclusions:

• 3D modeling of patient-specific anatomy is crucial for planning complex endovascular procedures.
• This approach facilitates precise C-arm positioning and enhances procedural safety.
• The integration of 3D imaging and modeling represents a significant advancement in interventional radiology.