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

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

Status

Recruiting

Phases

Unknown

Study type

Observational

Source

DRKS

Registry ID

DRKS00014853

Enrollment

100

Registered

2018-06-29

Start date

2018-08-01

Completion date

Unknown

Last updated

2025-04-07

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

S02 M85 Q75 S09 K10 K07 Z96

Interventions

Group 1: Establishment of a CT database (CT, PET/CT etc.) of the maxillofacial area with datasets from the clinical routine for the comparative evaluation of multiple image- based computer programs an

Eligibility

Sex/Gender

All

Age

18 Years to 99 Years

Inclusion criteria

Inclusion criteria: Physiologically functional, complete maxillofacial bones

Exclusion criteria

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

Design outcomes

Primary

Measure	Time frame
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

Measure	Time frame
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.).	—

Countries

Austria

Contacts

Public ContactJürgen Wallner

Medizinische Universität Graz

j.wallner@medunigraz.at+43/316/385-12428

Outcome results

None listed

Source: DRKS (via WHO ICTRP) · Data processed: Feb 4, 2026