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Accuracy of Open-source Software in Semi-automatic 3-Dimensional Reconstruction of the Mandible

Accuracy of Open-source Software in Semi-automatic 3-Dimensional Reconstruction of the Mandible: A Validity and Reliability Study

Status
UNKNOWN
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT05055986
Enrollment
12
Registered
2021-09-24
Start date
2021-11-11
Completion date
2023-01-31
Last updated
2022-03-09

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

Conditions

Segmentation; Bone

Keywords

Open source software, Segmentation, Mandible

Brief summary

Concomitant to the evolution of CBCT devices, several post-processing software packages were developed for producing 3D-printed models of anatomical structures. In the last few years, several open-source software used as an alternative to commercial software for 3D reconstruction of anatomical structures such as the mandible. However, no sufficient evidence validating the accuracy of this open-source software.

Detailed description

3D rendering of craniomaxillofacial structures is based on the segmentation process. Semi-automatic segmentation has been pointed out as the technique of choice since it combines the high efficiency and repeatability of the automatic methods with the experience of an operator. Although the creation of 3D models is very important, it is still not a common procedure, since commercial software often requires higher electronic computer power and is licensed by its manufacturer, increasing the financial costs. In the last few years, several open-source software can be obtained for free such as ITK-Snap and 3D Slicer, which could provide more economical options for clinicians or researchers in patient management. However, no sufficient evidence validating the accuracy of this open-source software in detecting the volumetric and morphological characteristics of craniomaxillofacial structures.

Interventions

DEVICESemiautomatic segmentation of open-source software

Semiautomatic segmentation of open-source software is accurate as of the manual segmentation of commercial software.

Sponsors

Cairo University
Lead SponsorOTHER

Study design

Observational model
OTHER
Time perspective
PROSPECTIVE

Eligibility

Sex/Gender
ALL
Healthy volunteers
Yes

Inclusion criteria

* Good quality CBCT scans. * Field of view (FOV) including the whole mandibular bone. * Absence of artifacts, dental implants, craniofacial deformities, and temporomandibular disorders.

Exclusion criteria

* Low-quality CBCT scans. * FOV not including the whole mandibular bone. * Presence of artifacts, dental implants, craniofacial deformities, and temporomandibular disorders.

Design outcomes

Primary

MeasureTime frameDescription
Validity and reliability of CBCT open-source software (ITK-Snap and 3D Slicer) semiautomatic segmentation in Volumetric measurement of mandibular bone.1 yearThe volume calculation function tool of the dedicated CBCT open-source software (ITK-Snap and 3D Slicer) will be used to measure the mandibular bone volume.

Countries

Egypt

Contacts

Primary ContactMaha S Mohamed, Master
maha_sayed@dentistry.cu.edu.eg01285478360

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026