Results 271 to 280 of about 177,511 (317)

PerioAI: A digital system for periodontal disease diagnosis from an intra-oral scan and cone-beam CT image. [PDF]

Cell Rep Med
Tan M, Cui Z, Li Y, Fang Y, Mei L, Zhao Y, Wu X, Lai H, Tonetti MS, Shen D.   +9 more
europepmc   +1 more source

Cone Beam CT Sialography for the Assessment of Submandibular Gland Structure in Diabetes Mellitus. [PDF]

Oral Dis
Sümbüllü MA, Başaran Aslan K, Çağlayan F.   +2 more
europepmc   +1 more source

Periapical radiographs vs cone beam CT imaging for the evaluation of peri-implant bone defects: an ex vivo study. [PDF]

Med Oral Patol Oral Cir Bucal
Tzortzakis NG, Damaskos S, Dimakopoulou K, Chatzipetros E, Angelopoulos C.   +4 more
europepmc   +1 more source

Vessel-targeted compensation of deformable motion in interventional cone-beam CT. [PDF]

Med Image Anal
Lu A, Huang H, Hu Y, Zbijewski W, Unberath M, Siewerdsen JH, Weiss CR, Sisniega A.   +7 more
europepmc   +1 more source

Assessment of Jaw Bone Density Using Cone-Beam CT in Patients with Osteoporosis: A Cross-Sectional Study.

J Pharm Bioallied Sci
Kanneppady SS, Kanneppady SK, Jamatia K, Tiwari K, Ausare SS, Dash A, Syed AK.   +6 more
europepmc   +1 more source

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Cone-Beam CT Systems

2019
Cone-beam CT (CBCT) systems have emerged in a broad variety of forms and clinical applications. The diversity of platforms includes open-gantry C-arms and U-arms as well as closed-gantry rings. Applications span a spectrum of image-guided interventions (e.g., image-guided radiotherapy, surgery, and interventional radiology) and specialty diagnostic ...
J. Siewerdsen
openaire   +2 more sources

Respiratory correlated cone beam CT

Medical Physics, 2005
A cone beam computed tomography (CBCT) scanner integrated with a linear accelerator is a powerful tool for image guided radiotherapy. Respiratory motion, however, induces artifacts in CBCT, while the respiratory correlated procedures, developed to reduce motion artifacts in axial and helical CT are not suitable for such CBCT scanners. We have developed
Sonke, Jan-Jakob, Zijp, Lambert, Remeijer, Peter, van Herk, Marcel   +3 more
openaire   +5 more sources

ToothNet: Automatic Tooth Instance Segmentation and Identification From Cone Beam CT Images

Computer Vision and Pattern Recognition, 2019
This paper proposes a method that uses deep convolutional neural networks to achieve automatic and accurate tooth instance segmentation and identification from CBCT (cone beam CT) images for digital dentistry.
Zhiming Cui, Changjian Li, Wenping Wang
semanticscholar   +1 more source

Cone-beam CT for radiotherapy applications

Physics in Medicine and Biology, 1995
Clinical implementation of cone-beam tomography has been hampered by the lack of two-dimensional electronic x-ray detectors that can encompass the full width of the body. We encountered the undersized detector problem in our development of a cone-beam CT system for radiotherapy applications.
P S, Cho, R H, Johnson, T W, Griffin
openaire   +2 more sources

Crescent artifacts in cone‐beam CT

Medical Physics, 2011
Purpose:In image‐guided radiation therapy, cone‐beam CT has been adopted for three‐dimensional target localization in the treatment room. In many of these cone‐beam CT images, dark and light crescent artifacts can be seen. This study investigates potential causes of this artifact and a technique for mitigating the crescents.Methods:Three deviations ...
William, Giles, James, Bowsher, Hao, Li, Fang-Fang, Yin   +3 more
openaire   +2 more sources