cbct-segmentation

What problem does it solve?

This Skill standardizes and automates the processing of CBCT and medical imaging data, enabling consistent, accurate segmentation and export for dental and maxillofacial applications.

Core Features & Use Cases

• Data Preparation and Verification: Ensures correct data formats, modality, and artifact detection before processing.
• Flexible Segmentation Workflow: Supports automatic, semi-automatic, and manual segmentation using industry tools like 3D Slicer, TotalSegmentator, and MONAI Label.
• Quality Assurance: Incorporates manual review steps to validate segmentation results.
• Export and Post-Processing: Allows exporting STL and mask files for further analysis such as FEA or mesh processing.
• Use Case: For a user working with dental CBCT scans needing precise defects delineation and model export for implant planning or defect analysis.

Quick Start

Perform data validation and segmentation by selecting your workspace and auto-segmentation preferences, then review results manually and export the final models.