AIMC Topic: Cone-Beam Computed Tomography
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Deep learning based super-resolution for CBCT dose reduction in radiotherapy.
Medical physics
Dec 3, 2024
BACKGROUND: Cone-beam computed tomography (CBCT) is a crucial daily imaging modality in image-guided and adaptive radiotherapy. However, the use of ionizing radiation in CBCT imaging increases the risk of secondary cancers, which is particularly conc...
Assessment of clinical feasibility:offline adaptive radiotherapy for lung cancer utilizing kV iCBCT and UNet++ based deep learning model.
Journal of applied clinical medical physics
Nov 29, 2024
BACKGROUND: Lung cancer poses a significant global health challenge. Adaptive radiotherapy (ART) addresses uncertainties due to lung tumor dynamics. We aimed to investigate a comprehensively and systematically validated offline ART regimen with high ...
Automatic jawbone structure segmentation on dental CBCT images via deep learning.
Clinical oral investigations
Nov 28, 2024
OBJECTIVES: This study developed and evaluated a two-stage deep learning-based system for automatic segmentation of mandibular cortical bone, mandibular cancellous bone, maxillary cortical bone and maxillary cancellous bone on cone beam computed tomo...
Deep learning-based multiple-CT optimization: An adaptive treatment planning approach to account for anatomical changes in intensity-modulated proton therapy for head and neck cancers.
Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology
Nov 23, 2024
BACKGROUNDS: Intensity-modulated proton therapy (IMPT) is particularly susceptible to range and setup uncertainties, as well as anatomical changes.
Unsupervised Deep Learning for Synthetic CT Generation from CBCT Images for Proton and Carbon Ion Therapy for Paediatric Patients.
Sensors (Basel, Switzerland)
Nov 22, 2024
Image-guided treatment adaptation is a game changer in oncological particle therapy (PT), especially for younger patients. The purpose of this study is to present a cycle generative adversarial network (CycleGAN)-based method for synthetic computed t...
Comparison Between Conventional and Artificial Intelligence-Assisted Setup for Digital Implant Planning: Accuracy, Time-Efficiency, and User Experience.
Clinical oral implants research
Nov 21, 2024
OBJECTIVES: To investigate the reliability and time efficiency of the conventional compared to the automatic artificial intelligence (AI) segmentation of the mandibular canal and registration of the CBCT with the model scan data, in relation to clini...
AI-driven segmentation of the pulp cavity system in mandibular molars on CBCT images using convolutional neural networks.
Clinical oral investigations
Nov 21, 2024
OBJECTIVE: To develop and validate an artificial intelligence (AI)-driven tool for automated segmentation of the pulp cavity system of mandibular molars on cone-beam computed tomography (CBCT) images.
Automatic detection and proximity quantification of inferior alveolar nerve and mandibular third molar on cone-beam computed tomography.
Clinical oral investigations
Nov 20, 2024
OBJECTIVES: During mandibular third molar (MTM) extraction surgery, preoperative analysis to quantify the proximity of the MTM to the surrounding inferior alveolar nerve (IAN) is essential to minimize the risk of IAN injury. This study aims to propos...
Detection of C-shaped mandibular second molars on panoramic radiographs using deep convolutional neural networks.
Clinical oral investigations
Nov 18, 2024
OBJECTIVES: The C-shaped mandibular second molars (MSMs) may pose an endodontic challenge. The aim of this study was to develop a convolutional neural network (CNN)-based deep learning system for the diagnosis of C-shaped MSMs on panoramic radiograph...
Dynamic navigation-guided robotic placement of zygomatic implants.
Journal of dentistry
Nov 13, 2024
OBJECTIVES: To assess the feasibility and accuracy of a new prototype robotic implant system for the placement of zygomatic implants in edentulous maxillary models.
Surgical Navigation Systems
Zygoma
Jaw, Edentulous
Maxilla
Models, Dental
Dental Implantation, Endosseous
Robotics
Robotic Surgical Procedures
Surgery, Computer-Assisted
Calibration
Models, Anatomic
Feasibility Studies
Dental Implants
Cone-Beam Computed Tomography
Humans
Imaging, Three-Dimensional
Software
Image Processing, Computer-Assisted
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