Results 11 to 20 of about 111,363 (381)
Australian Dental Journal, 2023 AbstractCone‐beam computed tomography (CBCT) is a three‐dimensional imaging modality which can aid endodontic diagnosis and treatment planning. While there are guidelines available describing the indications, there are divergent philosophies on when this technology should be applied in clinical practice.
F Chan, LF Brown, P Parashos
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CBCT-Based synthetic CT image generation using conditional denoising diffusion probabilistic model. [PDF]
Medical Physics (Lancaster), 2023 BACKGROUND Daily or weekly cone-beam computed tomography (CBCT) scans are commonly used for accurate patient positioning during the image-guided radiotherapy (IGRT) process, making it an ideal option for adaptive radiotherapy (ART) replanning.
Junbo Peng +10 more
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NAF: Neural Attenuation Fields for Sparse-View CBCT Reconstruction [PDF]
International Conference on Medical Image Computing and Computer-Assisted Intervention, 2022 This paper proposes a novel and fast self-supervised solution for sparse-view CBCT reconstruction (Cone Beam Computed Tomography) that requires no external training data.
Ruyi Zha, Yanhao Zhang, Hongdong Li
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Learning Deep Intensity Field for Extremely Sparse-View CBCT Reconstruction [PDF]
International Conference on Medical Image Computing and Computer-Assisted Intervention, 2023 Sparse-view cone-beam CT (CBCT) reconstruction is an important direction to reduce radiation dose and benefit clinical applications. Previous voxel-based generation methods represent the CT as discrete voxels, resulting in high memory requirements and ...
Yiqun Lin, Zhongjin Luo, Wei Zhao, X. Li
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A Fully Automated Method for 3D Individual Tooth Identification and Segmentation in Dental CBCT [PDF]
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021 Accurate and automatic segmentation of three-dimensional (3D) individual teeth from cone-beam computerized tomography (CBCT) images is a challenging problem because of the difficulty in separating an individual tooth from adjacent teeth and its ...
T. Jang, Kangcheol Kim, H. Cho, J. Seo
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AI-Assisted CBCT Data Management in Modern Dental Practice: Benefits, Limitations and Innovations
Electronics, 2023 Within the next decade, artificial intelligence (AI) will fundamentally transform the workflow of modern dental practice. This paper reviews the innovations and new roles of dental assistants in CBCT data management with the support of AI.
Renáta Urban +6 more
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CTA-UNet: CNN-transformer architecture UNet for dental CBCT images segmentation
Physics in Medicine and Biology, 2023 In view of the limitations of current deep learning models in segmenting dental cone-beam computed tomography (CBCT) images, specifically dealing with complex root morphological features, fuzzy boundaries between tooth roots and alveolar bone, and the ...
Zeyu Chen, Senyang Chen, F. Hu
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The Application of Deep Learning on CBCT in Dentistry
Diagnostics, 2023 Cone beam computed tomography (CBCT) has become an essential tool in modern dentistry, allowing dentists to analyze the relationship between teeth and the surrounding tissues.
Wenjie Fan +4 more
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Multiclass CBCT Image Segmentation for Orthodontics with Deep Learning
Journal of dentistry research, 2021 Accurate segmentation of the jaw (i.e., mandible and maxilla) and the teeth in cone beam computed tomography (CBCT) scans is essential for orthodontic diagnosis and treatment planning.
H. Wang +5 more
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Clinically applicable artificial intelligence system for dental diagnosis with CBCT
Scientific Reports, 2021 In this study, a novel AI system based on deep learning methods was evaluated to determine its real-time performance of CBCT imaging diagnosis of anatomical landmarks, pathologies, clinical effectiveness, and safety when used by dentists in a clinical ...
M. Ezhov +9 more
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