Merging Mandibular Virtual Data Sets in Partially Edentulous Patients with a High-level of Scattering on Cone-beam CT Scans: A Technical Report.
Alejandro LanisAlwaleed HelmiSamuel AkhondiAdam HamiltonBernard FriedlandPublished in: The International journal of periodontics & restorative dentistry (2024)
Digital implant planning, utilizing the convergence of digital surface scanners, cone beam computer tomography (CBCT) scans, and advanced planning software, has transformed dental implantology. The merging of these data sets through triangulation of landmarks provides a detailed digital model of the jaws, facilitating precise implant positioning in edentulous areas. A critical step in this digital workflow is the accurate merging of DICOM files with STL/PLY/OBJ files, which underpins the design and fabrication of surgical templates for accurate implant placement. Errors in this phase can lead to implant mispositioning or damage to adjacent structures. Particularly in partial edentulism, the merging is based on the occlusal topography of the remaining teeth but scattering in the CBCT data-caused by interactions of radiation with radiodense materials-can complicate this process or even render it impossible. The manuscript presents a technique utilizing radiopaque markers to overcome scattering effects, ensuring accurate dataset superimposition in the mandible.
Keyphrases
- cone beam
- electronic health record
- computed tomography
- soft tissue
- image quality
- high resolution
- cone beam computed tomography
- big data
- dual energy
- contrast enhanced
- data analysis
- oxidative stress
- patient safety
- positron emission tomography
- deep learning
- mass spectrometry
- radiation therapy
- radiation induced
- machine learning
- monte carlo
- adverse drug
- artificial intelligence
- quality improvement