A Newly Developed AI-Assisted Tool for the Collection of Cranial Landmark Data

Area of Science:

• Virtual anthropology
• Biological anthropology
• Forensic anthropology

Background:

• Virtual anthropology databases offer large-scale samples for research advancements.
• Evolving technology necessitates new methods for imaging and visualization in anthropology.

Purpose of the Study:

• To introduce a craniometric data collection module in Amira software.
• To enhance, improve, and expedite large-scale data collection in virtual anthropology.

Main Methods:

• Developed a module within Amira for 3D visualization of computed tomography (CT) scans.
• Integrated AI-driven assistance for landmark plotting, including ectocranial and endocranial landmarks.
• Enabled output of 3D coordinates and interlandmark distances, with customizable features.

Main Results:

• The module allows plotting of 104 cranial landmarks in approximately 40 minutes.
• Demonstrated a significant improvement in efficiency compared to previous virtual craniometrics methods.
• The module supports flexible data collection with floating and endocranial landmarks.

Conclusions:

• The module leverages AI and CT scans for advancing biological and forensic anthropology.
• Integration with Amira provides a valuable resource for virtual anthropology data collection.
• Sets a new standard for efficiency and comprehensiveness in virtual craniometrics.