Trial document
DRKS00014853
Trial Description
Title
CT database for evaluation of automatic image segmentation programs in the maxillofacial area
Trial Acronym
enFacedDB
URL of the Trial
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Brief Summary in Lay Language
Computer- assisted technologies such as image- based segmentation play an important role in the diagnosis and treatment support in oral- and maxillofacial surgery. However, although many image- based segmentation approaches exist, their clinical in- house use is often strongly limited due to technical, human or financial resources. Especially in open- source based segmentation, systematic evaluations of segmentation approaches are lacking. Therefore, the aim of this study is to assess the real segmentation quality of commonly available and license- free segmentation programs in the maxillofacial area. The assessment is done in a comparison between segmented CT- image data of the maxillofacial area. Segmented patient- specific clinical image data performed by automatic segmentation algorithms are compared with the manual ground truth segmentations performed by clinical experts. Assessment parameters are amongst others the Dice Score Coefficient (DSC, %) and the Hausdorff Distance (HD, voxel).
This study is a systematic comparison that evaluates multiple license- free, open- source segmentation programs and software platforms in the maxillofacial area based on clinical CT- data for the improvement of segmentation algorithms and a potential clinical use in patient-individualized medicine in the field of oral and maxillofacial surgery. Further, the results presented are reproducible by others and can be used for both clinical and research purposes.
Brief Summary in Scientific Language
Computer- assisted technologies such as image- based segmentation play an important in the diagnosis and treatment support in oral- and maxillofacial surgery. However, although many image- based segmentation approaches exist, their clinical in- house use is often strongly limited due to technical, human or financial resources. Especially in open- source based segmentation, systematic evaluations of segmentation approaches are lacking. Therefore, the aim of this study is to assess the real segmentation quality of commonly available and license- free segmentation programs in the maxillofacial area. The assessment is done in a comparison between segmented CT- image data of the maxillofacial area. Segmented patient- specific clinical image data performed by automatic segmentation algorithms are compared with the manual ground truth segmentations performed by clinical experts. Assessment parameters are amongst others the Dice Score Coefficient (DSC, %) and the Hausdorff Distance (HD, voxel).
This study is a systematic comparison that evaluates multiple license- free, open- source segmentation programs and software platforms in the maxillofacial area based on clinical CT- data for the improvement of segmentation algorithms and a potential clinical use in patient-individualized medicine in the field of oral and maxillofacial surgery. Further, the results presented are reproducible by others and can be used for both clinical and research purposes.
Do you plan to share individual participant data with other researchers?
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Description IPD sharing plan:
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Organizational Data
- DRKS00014853
- 2018/06/29
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- yes
- Approved
- 30-340 ex 17/18, Ethikkommission der Medizinischen Universität Graz
Secondary IDs
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Health Condition or Problem studied
- S02 - Fracture of skull and facial bones
- M85 - Other disorders of bone density and structure
- Q75 - Other congenital malformations of skull and face bones
- S09 - Other and unspecified injuries of head
- K10 - Other diseases of jaws
- K07 - Dentofacial anomalies [including malocclusion]
- Z96 - Presence of other functional implants
Interventions/Observational Groups
- 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 and platforms.
- Automatic maxillofacial bone segmentation with computer programs on CT data (CT,PET/CT etc.) basis: time of measurement (T) with Hausdorff Distance (HD, voxel)/ Dice Similarity Score (DSC, %)/ Volume (V, mm3)/ Voxel (Vx, Number)/Time (t, min., sec.) as well as 3D printing of facial models and evaluation of Augmented Reality Systems on CT data basis.
- Manual maxillofacial bone segmentation by clinical experts (Ground Truth) on CT data basis: time of measurement (T) with Hausdorff Distance (HD, voxel)/ Dice Similarity Score (DSC, %)/ Volume (V, mm3)/ Voxel (Vx, Number)/ Time (t, min., sec.)
Characteristics
- Non-interventional
- Other
- Non-randomized controlled trial
- Open (masking not used)
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- Other
- Basic research/physiological study
- Parallel
- N/A
- N/A
Primary Outcome
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
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 of Recruitment
- Austria
Locations of Recruitment
- University Medical Center
Recruitment
- Actual
- 2018/08/01
- 100
- Monocenter trial
- National
Inclusion Criteria
- Both, male and female
- 18 Years
- 99 Years
Additional 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
Addresses
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start of 1:1-Block address primary-sponsor
- Medizinische Universität Graz
- Mr. DDDr. Jürgen Wallner
- Auenbruggerplatz 5/1
- 8036 Graz
- Austria
end of 1:1-Block address primary-sponsorstart of 1:1-Block address contact primary-sponsor- +43/316/385-12428
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- j.wallner at medunigraz.at
- https://www.medunigraz.at/en/
end of 1:1-Block address contact primary-sponsor -
start of 1:1-Block address other
- TU Graz
- Mr. Dr. Dr. habil. Jan Egger
- Inffeldgasse 16c/2
- 8010 Graz
- Austria
end of 1:1-Block address otherstart of 1:1-Block address contact other- +43 316 873-5076
- +43 316 873 5050
- egger at tugraz.at
- https://www.tugraz.at/home/
end of 1:1-Block address contact other -
start of 1:1-Block address scientific-contact
- Medizinische Universität Graz
- Mr. DDDr. Jürgen Wallner
- Auenbruggerplatz 5/1
- 8036 Graz
- Austria
end of 1:1-Block address scientific-contactstart of 1:1-Block address contact scientific-contact- +43/316/385-12428
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- j.wallner at medunigraz.at
- https://www.medunigraz.at/en/
end of 1:1-Block address contact scientific-contact -
start of 1:1-Block address public-contact
- Medizinische Universität Graz
- Mr. DDDr. Jürgen Wallner
- Auenbruggerplatz 5/1
- 8036 Graz
- Austria
end of 1:1-Block address public-contactstart of 1:1-Block address contact public-contact- +43/316/385-12428
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- j.wallner at medunigraz.at
- https://www.medunigraz.at/en/
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Sources of Monetary or Material Support
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- FWF
- Sensengasse 1
- 1090 Wien
- Austria
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- https://www.fwf.ac.at/
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- Austrian Science Fund (FWF) KLI 678-B31: “enFaced: Virtual and Augmented Reality Training and Navigation Module for 3D-Printed Facial Defect Reconstructions” (PIs: Jürgen Wallner and Jan Egger)
- 1090 Wien
- Austria
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Status
- Recruiting ongoing
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Trial Publications, Results and other Documents
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