CT database for evaluation of automatic image segmentation programs in the maxillofacial area

Recruiting

• Conditions: S02; M85; Q75; S09; K10; K07; Z96; Fracture of skull and facial bones; Other disorders of bone density and structure; Other congenital malformations of skull and face bones

• Registration Number: DRKS00014853
• Lead Sponsor: Medizinische Universität Graz

Brief Summary

Not available

Detailed Description

Not available

Study Timeline

• Study Start: 2018-06-29
• Last Update Posted: 19 August 2024

Recruitment & Eligibility

• Status: Recruiting
• Sex: All
• Target Recruitment: 100

Inclusion Criteria

Physiologically functional, complete maxillofacial bones

Exclusion Criteria

• Implants or osteosynthesis material
• Age <18 Years
• Bone necrosis or pathologic-cystic changes of the bones

Study & Design

• Study Type: observational
• Study Design: Not specified

Primary Outcome Measures

Name	Time	Method
Comparison image based segmentation of maxillofacial CT- data between automatic (algorithm) vs. manual (clinical experts) at measurement point T by Hausdorff Distance (HD, voxel) and Dice Similarity Score (DSC, %).

Secondary Outcome Measures

Name	Time	Method
Comparison image based segmentation of maxillofacial CT- data between automatic (algorithm) vs. manual (clinical experts) at measurement point T by Volume (V, mm3), Voxel (Vx, Number), time (t, min., sec.).