AIMC Topic: Cone-Beam Computed Tomography
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Evaluation of deep learning for detecting intraosseous jaw lesions in cone beam computed tomography volumes.
Oral surgery, oral medicine, oral pathology and oral radiology
Oct 16, 2023
OBJECTIVE: The study aim was to develop and assess the performance of a deep learning (DL) algorithm in the detection of radiolucent intraosseous jaw lesions in cone beam computed tomography (CBCT) volumes.
Technical note: Evaluation of deep learning based synthetic CTs clinical readiness for dose and NTCP driven head and neck adaptive proton therapy.
Medical physics
Oct 13, 2023
BACKGROUND: Adaptive proton therapy workflows rely on accurate imaging throughout the treatment course. Our centre currently utilizes weekly repeat CTs (rCTs) for treatment monitoring and plan adaptations. However, deep learning-based methods have re...
Volumetric tumor tracking from a single cone-beam X-ray projection image enabled by deep learning.
Medical image analysis
Oct 10, 2023
Radiotherapy serves as a pivotal treatment modality for malignant tumors. However, the accuracy of radiotherapy is significantly compromised due to respiratory-induced fluctuations in the size, shape, and position of the tumor. To address this challe...
Comparison and evaluation of different deep learning models of synthetic CT generation from CBCT for nasopharynx cancer adaptive proton therapy.
Medical physics
Oct 6, 2023
BACKGROUND: Cone-beam computed tomography (CBCT) scanning is used for patient setup in image-guided radiotherapy. However, its inaccurate CT numbers limit its applicability in dose calculation and treatment planning.
Gradient-based geometry learning for fan-beam CT reconstruction.
Physics in medicine and biology
Oct 2, 2023
Incorporating computed tomography (CT) reconstruction operators into differentiable pipelines has proven beneficial in many applications. Such approaches usually focus on the projection data and keep the acquisition geometry fixed. However, precise k...
An artificial intelligence model for the radiographic diagnosis of osteoarthritis of the temporomandibular joint.
Scientific reports
Sep 25, 2023
The interpretation of the signs of Temporomandibular joint (TMJ) osteoarthritis on cone-beam computed tomography (CBCT) is highly subjective that hinders the diagnostic process. The objectives of this study were to develop and test the performance of...
Autologous Transplantation Tooth Guide Design Based on Deep Learning.
Journal of oral and maxillofacial surgery : official journal of the American Association of Oral and Maxillofacial Surgeons
Sep 20, 2023
BACKGROUND: Autologous tooth transplantation requires precise surgical guide design, involving manual tracing of donor tooth contours based on patient cone-beam computed tomography (CBCT) scans. While manual corrections are time-consuming and prone t...
Image quality improvement in bowtie-filter-equipped cone-beam CT using a dual-domain neural network.
Medical physics
Sep 5, 2023
BACKGROUND: The bowtie-filter in cone-beam CT (CBCT) causes spatially nonuniform x-ray beam often leading to eclipse artifacts in the reconstructed image. The artifacts are further confounded by the patient scatter, which is therefore patient-depende...
Abnormal maxillary sinus diagnosing on CBCT images via object detection and 'straight-forward' classification deep learning strategy.
Journal of oral rehabilitation
Sep 4, 2023
BACKGROUND: Pathological maxillary sinus would affect implant treatment and even result in failure of maxillary sinus lift and implant surgery. However, the maxillary sinus abnormalities are challenging to be diagnosed through CBCT images, especially...
Semi-autonomous two-stage dental robotic technique for zygomatic implants: An in vitro study.
Journal of dentistry
Sep 4, 2023
OBJECTIVE: To assess the feasibility and accuracy of a semi-autonomous two-stage dental robotic technique for zygomatic implants.
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