Digital body preservation: Technique and applications.

Area of Science:

• Anatomical modeling
• Digital preservation
• Medical imaging

Background:

• Three-dimensional (3D) scanning enables high-fidelity anatomical model creation.
• Digital preservation and rendering of anatomical data are crucial for various applications.
• Combining scan geometry with radiographic imaging presents unique challenges.

Purpose of the Study:

• To present a novel methodology, digital body preservation, for integrating 3D surface scans with radiographic imaging.
• To demonstrate the applicability of generated 3D models in digital learning environments.
• To investigate the impact of mesh simplification and texture mapping on 3D model quality and computational efficiency.

Main Methods:

• Developed a digital body preservation technique using computed tomography (CT) as a template.
• Employed nonrigid registration to merge multiple 3D surface scan geometries into a unified model.
• Evaluated mesh simplification and texture mapping effects on anatomical feature fidelity and model size.

Main Results:

• Successfully combined and matched 3D scan geometry with CT data using nonrigid registration.
• Generated 3D anatomical models demonstrated utility in digital learning modalities.
• Extensive mesh simplification preserved large- and medium-scale anatomical features effectively.
• Fine-scale features, especially in curved regions, limited significant mesh size reduction.

Conclusions:

• The digital body preservation technique offers a robust method for creating integrated anatomical models.
• Mesh simplification, when combined with texture mapping, can significantly reduce model size while retaining essential anatomical detail for educational purposes.
• Workable mesh sizes (3-10% of original) are achievable, facilitating the use of 3D models in diverse digital learning applications.