Artifact Reduction in 3D and 4D Cone-beam Computed Tomography Images with Deep Learning-A Review
M Amirian, D Barco, I Herzig, FP Schilling - Ieee Access, 2024 - ieeexplore.ieee.org
Deep learning based approaches have been used to improve image quality in cone-beam
computed tomography (CBCT), a medical imaging technique often used in applications such …
computed tomography (CBCT), a medical imaging technique often used in applications such …
Review of sparse-view or limited-angle CT reconstruction based on deep learning
J Di, J Lin, L Zhong, K Qian, Y Qin - Laser & Optoelectronics …, 2023 - researching.cn
Computed tomography (CT) technology is widely used in clinical medical diagnosis thanks
to the excellent visualization of the CT imaging technology for the internal cross-sectional …
to the excellent visualization of the CT imaging technology for the internal cross-sectional …
3D in vivo dose verification in prostate proton therapy with deep learning-based proton-acoustic imaging
Dose delivery uncertainty is a major concern in proton therapy, adversely affecting the
treatment precision and outcome. Recently, a promising technique, proton-acoustic (PA) …
treatment precision and outcome. Recently, a promising technique, proton-acoustic (PA) …
Non‐coplanar CBCT image reconstruction using a generative adversarial network for non‐coplanar radiotherapy
R Wei, Z Song, Z Pan, Y Cao, Y Song… - Journal of Applied …, 2024 - Wiley Online Library
Purpose To develop a non‐coplanar cone‐beam computed tomography (CBCT) image
reconstruction method using projections within a limited angle range for non‐coplanar …
reconstruction method using projections within a limited angle range for non‐coplanar …
Single-view cone beam CT reconstruction with Swin transformer based deep learning
S Huang, Y Song, J Rong, T Liu… - … Imaging 2023: Image …, 2023 - spiedigitallibrary.org
Cone beam CT (CBCT) imaging with sparse-view can effectively reduce the radiation dose
risk. The convolution-based end-to-end deep learning methods have been used in single …
risk. The convolution-based end-to-end deep learning methods have been used in single …
Deep Learning Features Restoration and Regional Longitudinal Fitting of Computed Tomography Images using Convolution Neural Network
R Krishnaswamy, A Titus… - … Conference on I …, 2022 - ieeexplore.ieee.org
Positron Emission Tomography (PET) is suggested for its high potential Deep Learning (DL)
diagnostic imaging with a profound learning approach. The network training is done using …
diagnostic imaging with a profound learning approach. The network training is done using …
[PDF][PDF] A Review of Enhancement Techniques for Cone Beam Computed Tomography Images
HM Al-alaaf, MS Jarjees - NTU Journal of Engineering and Technology, 2024 - iasj.net
Modern CBCT equipment generates superb, high-resolution, three-dimensional images of
the oral anatomy, simplifying and confirming dental implant planning and surgical …
the oral anatomy, simplifying and confirming dental implant planning and surgical …
[PDF][PDF] Artifact Reduction in 3D and 4D Cone-beam Computed Tomography Images with Deep Learning-A Review
DB MOHAMMADREZA AMIRIAN, FP Schilling - core.ac.uk
Deep learning based approaches have been used to improve image quality in cone-beam
computed tomography (CBCT), a medical imaging technique often used in applications such …
computed tomography (CBCT), a medical imaging technique often used in applications such …