Results 11 to 20 of about 177,511 (317)

Dental cone beam CT: An updated review [PDF]

Physica Medica, 2021
Cone beam computed tomography (CBCT) is a diverse 3D x-ray imaging technique that has gained significant popularity in dental radiology in the last two decades. CBCT overcomes the limitations of traditional two-dimensional dental imaging and enables accurate depiction of multiplanar details of maxillofacial bony structures and surrounding soft tissues.
Touko Kaasalainen, Marja Ekholm, Teemu Siiskonen, Mika Kortesniemi   +3 more
semanticscholar   +6 more sources

A fully automatic AI system for tooth and alveolar bone segmentation from cone-beam CT images

Nature Communications, 2022
Accurate delineation of individual teeth and alveolar bones from dental cone-beam CT (CBCT) images is an essential step in digital dentistry for precision dental healthcare.
Zhiming Cui, Yu Fang, Lanzhuju Mei, Bojun Zhang, Bo Yu, Jiameng Liu, Caiwen Jiang, Yuhang Sun, Lei Ma, Jia-Bin Huang, Yang Liu, Yue Zhao, Chunfeng Lian, Z. Ding, Min Zhu, Dinggang Shen   +15 more
semanticscholar   +1 more source

Deep learning methods for enhancing cone‐beam CT image quality toward adaptive radiation therapy: A systematic review

Medical Physics (Lancaster), 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.
Branimir Rusanov, G. Hassan, Mark Reynolds, M. Sabet, Jake Kendrick, P. Rowshanfarzad, M. Ebert   +6 more
semanticscholar   +1 more source

Principles, techniques and applications of high resolution cone beam CT angiography in the neuroangio suite

Journal of NeuroInterventional Surgery, 2022
The aim of this review is to describe the acquisition and reformatting of state of the art high resolution cone beam CT (HR-CBCT) and demonstrate its role in multiple neurovascular conditions as a tool to improve the understanding of disease and guide ...
E. Raz, E. Nossek, D. Sahlein, V. Sharashidze, V. Narayan, Aryan Ali, Rogelio Esparza, S. Peschillo, Charlotte Y Chung, Francesco Diana, Safia Syed, P. Nelson, M. Shapiro   +12 more
semanticscholar   +1 more source

Generating synthetic CT from low-dose cone-beam CT by using generative adversarial networks for adaptive radiotherapy

Radiation Oncology, 2021
Objective To develop high-quality synthetic CT (sCT) generation method from low-dose cone-beam CT (CBCT) images by using attention-guided generative adversarial networks (AGGAN) and apply these images to dose calculations in radiotherapy.
Liugang Gao, Kai Xie, Xiaojin Wu, Zhengda Lu, Chunying Li, Jiawei Sun, Tao Lin, Jianfeng Sui, Xinye Ni   +8 more
semanticscholar   +1 more source

Workflow and performance of intraoperative CT, cone-beam CT, and robotic cone-beam CT for spinal navigation in 503 consecutive patients.

Neurosurgical Focus, 2022
OBJECTIVE A direct comparison of intraoperative CT (iCT), cone-beam CT (CBCT), and robotic cone-beam CT (rCBCT) has been necessary to identify the ideal imaging solution for each individual user's need.
P. Kendlbacher, Dimitri Tkatschenko, M. Czabanka, S. Bayerl, G. Bohner, J. Woitzik, P. Vajkoczy, Nils Hecht   +7 more
semanticscholar   +1 more source

Cone-beam CT image quality improvement using Cycle-Deblur consistent adversarial networks (Cycle-Deblur GAN) for chest CT imaging in breast cancer patients

Scientific Reports, 2021
Cone-beam computed tomography (CBCT) integrated with a linear accelerator is widely used to increase the accuracy of radiotherapy and plays an important role in image-guided radiotherapy (IGRT).
H. Tien, Hsin-Chih Yang, P. Shueng, Jyh-Cheng Chen   +3 more
semanticscholar   +1 more source

Robotic-assisted Bronchoscopy and Cone-beam CT

Journal of Bronchology & Interventional Pulmonology, 2022
T he combination of robotic-assisted bronchoscopy (RAB) and cone-beam computed tomography (CBCT) is an emerging novel technology that can be used for diagnosing peripheral lung lesions. The ability to diagnose and stage a suspected, peripheral, difficult
G. Cumbo-Nacheli, R. K. Velagapudi, Mark Enter, J. Egan, Diego Conci   +4 more
semanticscholar   +1 more source

Imaging Study of Pseudo-CT Synthesized From Cone-Beam CT Based on 3D CycleGAN in Radiotherapy

Frontiers in Oncology, 2021
Purpose To propose a synthesis method of pseudo-CT (CTCycleGAN) images based on an improved 3D cycle generative adversarial network (CycleGAN) to solve the limitations of cone-beam CT (CBCT), which cannot be directly applied to the correction of ...
Hongfei Sun, Rongbo Fan, Chunying Li, Zhengda Lu, Kai Xie, Xinye Ni, Jianhua Yang   +6 more
semanticscholar   +1 more source

Aladaip, beyond alara and towards personalized optimization for paediatric cone beam ct.

International Journal of Paediatric Dentistry, 2021
ALARA is a well-known principle that has been used to identify optimization of x-ray exposure in the field of radiology since the seventies. While ALARA implies the responsibility to minimize radiation exposures to a level As Low As Reasonably Achievable,
A. Oenning, R. Jacobs, B. Salmon
semanticscholar   +1 more source