AIMC Topic: Spiral Cone-Beam Computed Tomography
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Automated analysis of three-dimensional CBCT images taken in natural head position that combines facial profile processing and multiple deep-learning models.
Computer methods and programs in biomedicine
Sep 9, 2022
BACKGROUND AND OBJECTIVES: Analyzing three-dimensional cone beam computed tomography (CBCT) images has become an indispensable procedure for diagnosis and treatment planning of orthodontic patients. Artificial intelligence, especially deep-learning t...
Importance of artificial intelligence in the analysis of children's CBCT imaging by dental students.
Journal of dental education
Jul 26, 2022
Accuracy of deep learning-based integrated tooth models by merging intraoral scans and CBCT scans for 3D evaluation of root position during orthodontic treatment.
Progress in orthodontics
May 9, 2022
OBJECTIVE: This study aimed to evaluate the accuracy of deep learning-based integrated tooth models (ITMs) by merging intraoral scans and cone-beam computed tomography (CBCT) scans for three-dimensional (3D) evaluation of root position during orthodo...
New Frontier in Advanced Dentistry: CBCT, Intraoral Scanner, Sensors, and Artificial Intelligence in Dentistry.
Sensors (Basel, Switzerland)
Apr 12, 2022
The advancement of science and technology has brought innovation in the dental field [...].
Patient-specific deep learning model to enhance 4D-CBCT image for radiomics analysis.
Physics in medicine and biology
Apr 1, 2022
4D-CBCT provides phase-resolved images valuable for radiomics analysis for outcome prediction throughout treatment courses. However, 4D-CBCT suffers from streak artifacts caused by under-sampling, which severely degrades the accuracy of radiomic feat...
Multiresolution residual deep neural network for improving pelvic CBCT image quality.
Medical physics
Jan 27, 2022
PURPOSE: Cone-beam computed tomography (CBCT) is frequently used for accurate image-guided radiation therapy. However, the poor CBCT image quality prevents its further clinical use. Thus, it is important to improve the HU accuracy and structure prese...
The Effectiveness of Semi-Automated and Fully Automatic Segmentation for Inferior Alveolar Canal Localization on CBCT Scans: A Systematic Review.
International journal of environmental research and public health
Jan 4, 2022
This systematic review aims to identify the available semi-automatic and fully automatic algorithms for inferior alveolar canal localization as well as to present their diagnostic accuracy. Articles related to inferior alveolar nerve/canal localizati...
Development and validation of a novel artificial intelligence driven tool for accurate mandibular canal segmentation on CBCT.
Journal of dentistry
Nov 13, 2021
OBJECTIVES: The objective of this study is the development and validation of a novel artificial intelligence driven tool for fast and accurate mandibular canal segmentation on cone beam computed tomography (CBCT).
Deep learning-based thoracic CBCT correction with histogram matching.
Biomedical physics & engineering express
Oct 29, 2021
Kilovoltage cone-beam computed tomography (CBCT)-based image-guided radiation therapy (IGRT) is used for daily delivery of radiation therapy, especially for stereotactic body radiation therapy (SBRT), which imposes particularly high demands for setup...
A geometry-guided deep learning technique for CBCT reconstruction.
Physics in medicine and biology
Jul 30, 2021
Although deep learning (DL) technique has been successfully used for computed tomography (CT) reconstruction, its implementation on cone-beam CT (CBCT) reconstruction is extremely challenging due to memory limitations. In this study, a novel DL techn...
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