Patient Specific Phantom in bimodal image navigation system.

Area of Science:

• Medical Imaging
• Biomedical Engineering
• 3D Printing Applications

Background:

• Developing patient-specific phantoms is crucial for advanced medical training and surgical planning.
• Existing methods may lack the anatomical accuracy or multi-modality integration required for complex procedures.

Purpose of the Study:

• To present a novel multistep methodology for creating bimodal patient-specific phantoms (PSPs).
• To enable the development of a bimodal navigation system integrating CT and ultrasound (US) imaging.

Main Methods:

• Designing a CT-based abdominal digital model.
• Manufacturing organ molds using 3D printing technology.
• Creating organ casts with a collagen-based colloid.

Main Results:

• A functional bimodal navigation system was developed using the PSP.
• High accuracy was achieved, indicated by a mean Dice similarity coefficient of 0.92.
• Excellent spatial accuracy was demonstrated with a Hausdorff distance of 9.67 mm.

Conclusions:

• The presented methodology effectively produces patient-specific phantoms for advanced applications.
• The developed PSPs support accurate bimodal navigation systems integrating CT and US imaging.
• This approach holds significant potential for improving surgical planning and medical training.