Intra-procedural coronary intervention planning using hybrid 3-dimensional reconstruction techniques

Area of Science:

• Medical Imaging
• Cardiovascular Interventions
• Computational Anatomy

Background:

• Interventional cardiology requires precise pre-procedural planning.
• Optimal visualization of coronary anatomy is crucial for successful interventions.
• Current planning methods may not fully leverage intra-procedural imaging data.

Purpose of the Study:

• To develop an automated method for generating 3D models of coronary vessels.
• To create an interactive optimal view map for guiding interventional procedures.
• To assist cardiologists in planning interventions at the catheterization table.

Main Methods:

• Utilizing a rotational single-plane X-ray system for image acquisition.
• Employing electrocardiogram-selected projections for volumetric cone-beam reconstruction.
• Generating a 3D vessel model and an optimal view map considering cardiac cycle variations.

Main Results:

• Demonstrated accurate 3D reconstruction of coronary vessel segments.
• Successfully generated an optimal view map predicting appropriate gantry angles.
• Validated the method on patient data and phantom objects.

Conclusions:

• The developed method is an appropriate and feasible tool for interventional cardiologists.
• It facilitates pre-procedural planning directly on the catheterization table.
• Enhances planning for coronary interventions following diagnostic angiography.