The impact of teeth and dental restorations on gray value distribution in cone-beam computer tomography: a pilot study.
Oliver WagendorfSusanne NahlesKirstin VachFlorian KernenStefan ZachowMax HeilandTabea FlüggePublished in: International journal of implant dentistry (2023)
Standard gray values derived from CT imaging do not apply for threshold-based bone segmentation in CBCT. Teeth influence gray values and segmentation results. Inaccurate bone segmentation may result in ill-fitting surgical guides produced on CBCT data and misinterpreting bone density, which is crucial for selecting surgical protocols. Created with BioRender.com.
Keyphrases
- deep learning
- bone mineral density
- convolutional neural network
- image quality
- cone beam computed tomography
- cone beam
- bone loss
- soft tissue
- bone regeneration
- computed tomography
- high resolution
- postmenopausal women
- artificial intelligence
- body composition
- machine learning
- big data
- mass spectrometry
- contrast enhanced
- dual energy
- oral health
- positron emission tomography
- fluorescence imaging