AIMC Topic: Cone-Beam Computed Tomography

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Automatic Detection of Periapical Osteolytic Lesions on Cone-beam Computed Tomography Using Deep Convolutional Neuronal Networks.

Journal of endodontics Aug 8, 2022
INTRODUCTION: Cone-beam computed tomography (CBCT) is an essential diagnostic tool in oral radiology. Radiolucent periapical lesions (PALs) represent the most frequent jaw lesions. However, the description, interpretation, and documentation of radiol...
Neural Networks, Computer Cone-Beam Computed Tomography Mandible Periapical Diseases Artificial Intelligence Retrospective Studies
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Combining natural and artificial intelligence for robust automatic anatomy segmentation: Application in neck and thorax auto-contouring.

Medical physics Jul 27, 2022
BACKGROUND: Automatic segmentation of 3D objects in computed tomography (CT) is challenging. Current methods, based mainly on artificial intelligence (AI) and end-to-end deep learning (DL) networks, are weak in garnering high-level anatomic informati...
Cone-Beam Computed Tomography Humans Artificial Intelligence
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Construction of a new automatic grading system for jaw bone mineral density level based on deep learning using cone beam computed tomography.

Scientific reports Jul 27, 2022
To develop and verify an automatic classification method using artificial intelligence deep learning to determine the bone mineral density level of the implant site in oral implant surgery from radiographic data obtained from cone beam computed tomog...
Deep Learning Cone-Beam Computed Tomography Humans Artificial Intelligence Bone Density Mandible Dental Implants
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Deep convolutional neural network-based automated segmentation of the maxillofacial complex from cone-beam computed tomography:A validation study.

Journal of dentistry Jul 21, 2022
OBJECTIVES: The present study investigated the accuracy, consistency, and time-efficiency of a novel deep convolutional neural network (CNN) based model for the automated maxillofacial bone segmentation from cone beam computed tomography (CBCT) image...
Cone-Beam Computed Tomography Image Processing, Computer-Assisted Humans Neural Networks, Computer
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Deep learning methods for enhancing cone-beam CT image quality toward adaptive radiation therapy: A systematic review.

Medical physics Jul 18, 2022
The use of deep learning (DL) to improve cone-beam CT (CBCT) image quality has gained popularity as computational resources and algorithmic sophistication have advanced in tandem. CBCT imaging has the potential to facilitate online adaptive radiation...
Phantoms, Imaging Radiometry Radiotherapy Planning, Computer-Assisted Radiotherapy Dosage Humans Deep Learning Cone-Beam Computed Tomography Image Processing, Computer-Assisted
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Multimodal image translation via deep learning inference model trained in video domain.

BMC medical imaging Jul 14, 2022
BACKGROUND: Current medical image translation is implemented in the image domain. Considering the medical image acquisition is essentially a temporally continuous process, we attempt to develop a novel image translation framework via deep learning tr...
Deep Learning Cone-Beam Computed Tomography Image Processing, Computer-Assisted Signal-To-Noise Ratio Humans Reproducibility of Results
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Feasibility study of three-material decomposition in dual-energy cone-beam CT imaging with deep learning.

Physics in medicine and biology Jul 12, 2022
In this work, a dedicated end-to-end deep convolutional neural network, named as Triple-CBCT, is proposed to demonstrate the feasibility of reconstructing three different material distribution volumes from the dual-energy CBCT projection data.In Trip...
Phantoms, Imaging Swine Image Processing, Computer-Assisted Deep Learning Feasibility Studies Iodine Animals Cone-Beam Computed Tomography
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Predicting the risk of dental implant loss using deep learning.

Journal of clinical periodontology Jul 9, 2022
AIM: To investigate the feasibility of predicting dental implant loss risk with deep learning (DL) based on preoperative cone-beam computed tomography.
Risk Factors Deep Learning Humans Retrospective Studies Dental Implants ROC Curve Cone-Beam Computed Tomography
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DR-only Carbon-ion radiotherapy treatment planning via deep learning.

Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB) Jul 4, 2022
PURPOSE: To evaluate the feasibility of patient-specific digital radiography (DR)-only treatment planning for carbon ion radiotherapy in anthropomorphic thorax-and-abdomen phantom and head-and-neck patients.
Radiographic Image Enhancement Heavy Ion Radiotherapy Radiotherapy Dosage Radiotherapy, Intensity-Modulated Deep Learning Humans Cone-Beam Computed Tomography Carbon Image Processing, Computer-Assisted Radiotherapy Planning, Computer-Assisted
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Deep Learning-Based Prediction of the 3D Postorthodontic Facial Changes.

Journal of dental research Jun 30, 2022
With the increase of the adult orthodontic population, there is a need for an accurate and evidence-based prediction of the posttreatment face in 3 dimensions (3D). The objectives of this study are 1) to develop a 3D postorthodontic face prediction m...
Cone-Beam Computed Tomography Imaging, Three-Dimensional Image Processing, Computer-Assisted Adult Deep Learning Humans Algorithms
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