AIMC Topic: Cone-Beam Computed Tomography
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Accuracy and safety of a haptic operated and machine vision controlled collaborative robot for dental implant placement: A translational study.
Clinical oral implants research
Jun 12, 2023
OBJECTIVES: Multiple generations of medical robots have revolutionized surgery. Their application to dental implants is still in its infancy. Co-operating robots (cobots) have great potential to improve the accuracy of implant placement, overcoming t...
Contour-guided deep learning based deformable image registration for dose monitoring during CBCT-guided radiotherapy of prostate cancer.
Journal of applied clinical medical physics
May 25, 2023
PURPOSE: To evaluate deep learning (DL)-based deformable image registration (DIR) for dose accumulation during radiotherapy of prostate cancer patients.
Deep learning-based markerless lung tumor tracking in stereotactic radiotherapy using Siamese networks.
Medical physics
May 23, 2023
BACKGROUND: Radiotherapy (RT) is involved in about 50% of all cancer patients, making it a very important treatment modality. The most common type of RT is external beam RT, which consists of delivering the radiation to the tumor from outside the bod...
Artificial intelligence: is it more accurate than endodontists in root canal therapy?
Evidence-based dentistry
May 23, 2023
DATA SOURCES: The following databases were electronically searched (up to 20 March 2022): PubMed, Scopus, Google Scholar, and Cochrane Library. This was followed by hand-searching the reference lists of the included articles. The search was restricte...
Deep learning based de-overlapping correction of projections from a flat-panel micro array X-ray source: Simulation study.
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)
May 19, 2023
PURPOSE: Flat-panel X-ray source is an experimental X-ray emitter with target application of static computer tomography (CT), which can save imaging space and time. However, the X-ray cone beams emitted by the densely arranged micro-ray sources are o...
Deep learning for detection and 3D segmentation of maxillofacial bone lesions in cone beam CT.
European radiology
May 16, 2023
OBJECTIVES: To develop an automated deep-learning algorithm for detection and 3D segmentation of incidental bone lesions in maxillofacial CBCT scans.
Deep learning based synthetic CT from cone beam CT generation for abdominal paediatric radiotherapy.
Physics in medicine and biology
May 5, 2023
. Adaptive radiotherapy workflows require images with the quality of computed tomography (CT) for re-calculation and re-optimisation of radiation doses. In this work we aim to improve the quality of on-board cone beam CT (CBCT) images for dose calcul...
Four-Dimensional Cone Beam CT Imaging Using a Single Routine Scan via Deep Learning.
IEEE transactions on medical imaging
May 2, 2023
A novel method is proposed to obtain four-dimensional (4D) cone-beam computed tomography (CBCT) images from a routine scan in patients with upper abdominal cancer. The projections are sorted according to the location of the lung diaphragm before bein...
Accurate gingival segmentation from 3D images with artificial intelligence: an animal pilot study.
Progress in orthodontics
May 1, 2023
BACKGROUND: Gingival phenotype plays an important role in dental diagnosis and treatment planning. Traditionally, determining the gingival phenotype is done by manual probing of the gingival soft tissues, an invasive and time-consuming procedure. Thi...
Effect of the number and distribution of fiducial markers on the accuracy of robot-guided implant surgery in edentulous mandibular arches: An in vitro study.
Journal of dentistry
Apr 25, 2023
OBJECTIVES: Robot-guided implant placement based on the screw marker-assisted registration technique has been applied in dentistry. This study aimed to identify the optimal number and distribution of fiducial markers for robot-guided implant placemen...
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