AIMC Topic: Cone-Beam Computed Tomography
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AI-AIDED VOLUMETRIC ROOT RESORPTION ASSESSMENT FOLLOWING PERSONALIZED FORCES IN ORTHODONTICS: PRELIMINARY RESULTS OF A RANDOMIZED CLINICAL TRIAL.
The journal of evidence-based dental practice
Jun 1, 2025
INTRODUCTION: External apical root resorption (EARR) is an undesirable loss of hard tissues of the tooth root frequently affecting to the maxillary incisors. The magnitude of orthodontic forces is a major treatment-related factor associated with EARR...
Lag-Net: Lag correction for cone-beam CT via a convolutional neural network.
Computer methods and programs in biomedicine
Jun 1, 2025
BACKGROUND AND OBJECTIVE: Due to the presence of charge traps in amorphous silicon flat-panel detectors, lag signals are generated in consecutively captured projections. These signals lead to ghosting in projection images and severe lag artifacts in ...
Scatter and beam hardening effect corrections in pelvic region cone beam CT images using a convolutional neural network.
Radiological physics and technology
Jun 1, 2025
The aim of this study is to remove scattered photons and beam hardening effect in cone beam CT (CBCT) images and make an image available for treatment planning. To remove scattered photons and beam hardening effect, a convolutional neural network (CN...
Machine Learning Models in the Detection of MB2 Canal Orifice in CBCT Images.
International dental journal
Jun 1, 2025
OBJECTIVES: The objective of the present study was to determine the accuracy of machine learning (ML) models in the detection of mesiobuccal (MB2) canals in axial cone-beam computed tomography (CBCT) sections.
Ultra-Sparse-View Cone-Beam CT Reconstruction-Based Strictly Structure-Preserved Deep Neural Network in Image-Guided Radiation Therapy.
IEEE transactions on medical imaging
Jun 1, 2025
Radiation therapy is regarded as the mainstay treatment for cancer in clinic. Kilovoltage cone-beam CT (CBCT) images have been acquired for most treatment sites as the clinical routine for image-guided radiation therapy (IGRT). However, repeated CBCT...
Automated classification of midpalatal suture maturation stages from CBCTs using an end-to-end deep learning framework.
Scientific reports
May 29, 2025
Accurate classification of midpalatal suture maturation stages is critical for orthodontic diagnosis, treatment planning, and the assessment of maxillary growth. Cone Beam Computed Tomography (CBCT) imaging offers detailed insights into this craniofa...
Evolution of deep learning tooth segmentation from CT/CBCT images: a systematic review and meta-analysis.
BMC oral health
May 26, 2025
BACKGROUND: Deep learning has been utilized to segment teeth from computed tomography (CT) or cone-beam CT (CBCT). However, the performance of deep learning is unknown due to multiple models and diverse evaluation metrics. This systematic review and ...
Explainable deep learning for age and gender estimation in dental CBCT scans using attention mechanisms and multi task learning.
Scientific reports
May 24, 2025
Accurate and interpretable age estimation and gender classification are essential in forensic and clinical diagnostics, particularly when using high-dimensional medical imaging data such as Cone Beam Computed Tomography (CBCT). Traditional CBCT-based...
Detection of carotid artery calcifications using artificial intelligence in dental radiographs: a systematic review and meta-analysis.
BMC medical imaging
May 19, 2025
BACKGROUND: Carotid artery calcifications are important markers of cardiovascular health, often associated with atherosclerosis and a higher risk of stroke. Recent research shows that dental radiographs can help identify these calcifications, allowin...
[Orthodontics in the CBCT era: 25 years later, what are the guidelines?].
L' Orthodontie francaise
May 15, 2025
INTRODUCTION: CBCT has become an essential tool in orthodontics, although its use must remain judicious and evidence-based. This study provides an updated analysis of international recommendations concerning the use of CBCT in orthodontics, with a pa...
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