Mandibular Diseases, SSM
Conditions
Brief summary
Hundred already taken CT-scans (50 male and 50 female) will be anonymized. These scans will be segmented and implemented into a statistical shape model that will be used to predict missing hard tissue of a mandible based on the remaining bone.
Detailed description
Together with the radiology and Craniomaxillofacial (CMF) department, 100 scans will be selected from the database (50 males and 50 females, between 20 and 60 years old). First, they will be anonymized (except the sex and age/date of birth). Afterwards, they will be segmented using Materialise Mimics software. The segmented mandibles will then be used to create a statistical shape model (SSM) using principal component analysis. This model will afterwards be used to predict the mandibular shapes.
Interventions
OTHERCT-scan evaluation and segmentation
CT-scans will be evaluated (to see if they are included in the research group) and segmented if they are accepted.
Sponsors
CADskills
Study design
Observational model
ECOLOGIC_OR_COMMUNITY
Time perspective
RETROSPECTIVE
Eligibility
Sex/Gender
ALL
Age
20 Years to 60 Years
Healthy volunteers
Yes
Inclusion criteria
* Healthy mandibles
Exclusion criteria
* Mandibles with major deformities * Mandibles with obvious problems * Mandibles that already underwent surgery
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| A statistical shape model of a mandible | 2 months | A statistical shape model of a mandible |
Countries
Belgium
Outcome results
None listed