An unsupervised dual contrastive learning framework for scatter correction in cone-beam CT image

T Wang, X Liu, J Dai, C Zhang, W He, L Liu… - Computers in Biology …, 2023 - Elsevier
Purpose: Cone-beam computed tomography (CBCT) is widely utilized in modern
radiotherapy; however, CBCT images exhibit increased scatter artifacts compared to …

A unified scatter rejection and correction method for cone beam computed tomography

C Altunbas, Y Park, Z Yu, A Gopal - Medical physics, 2021 - Wiley Online Library
Purpose Scattered radiation is a major cause of image quality degradation in flat panel
detector‐based cone beam CT (CBCT). While recently introduced 2D antiscatter grids reject …

Learning low‐dose CT degradation from unpaired data with flow‐based model

X Liu, X Liang, L Deng, S Tan, Y Xie - Medical Physics, 2022 - Wiley Online Library
Background There has been growing interest in low‐dose computed tomography (LDCT) for
reducing the X‐ray radiation to patients. However, LDCT always suffers from complex noise …

A deep unsupervised learning framework for the 4D CBCT artifact correction

G Dong, C Zhang, L Deng, Y Zhu, J Dai… - Physics in Medicine …, 2022 - iopscience.iop.org
Objective. Four-dimensional cone-beam computed tomography (4D CBCT) has unique
advantages in moving target localization, tracking and therapeutic dose accumulation in …

A deep unsupervised learning model for artifact correction of pelvis cone-beam CT

G Dong, C Zhang, X Liang, L Deng, Y Zhu… - Frontiers in …, 2021 - frontiersin.org
Purpose In recent years, cone-beam computed tomography (CBCT) is increasingly used in
adaptive radiation therapy (ART). However, compared with planning computed tomography …

Sinogram domain metal artifact correction of CT via deep learning

Y Zhu, H Zhao, T Wang, L Deng, Y Yang… - Computers in Biology …, 2023 - Elsevier
Purpose Metal artifacts can significantly decrease the quality of computed tomography (CT)
images. This occurs as X-rays penetrate implanted metals, causing severe attenuation and …

A convolutional neural network for estimating cone-beam CT intensity deviations from virtual CT projections

B Rusanov, MA Ebert, G Mukwada… - Physics in Medicine …, 2021 - iopscience.iop.org
Extending cone-beam CT (CBCT) use toward dose accumulation and adaptive radiotherapy
(ART) necessitates more accurate HU reproduction since cone-beam geometries are …

A practical and robust method for beam blocker-based cone beam CT scatter correction

H Cui, X Jiang, W Tang, HM Lu… - Physics in Medicine & …, 2023 - iopscience.iop.org
Objective. In the traditional beam-blocker based cone beam CT (CBCT) scatter correction,
the scatter measured in the region shaded by lead strips was multiplied by a correction …

Planning CT‐guided robust and fast cone‐beam CT scatter correction using a local filtration technique

H Cui, X Jiang, C Fang, L Zhu, Y Yang - Medical physics, 2021 - Wiley Online Library
Abstract Purpose Cone‐beam CT (CBCT) has been widely utilized in image‐guided
radiotherapy. Planning CT (pCT)‐aided CBCT scatter correction could further enhance …

Image‐based scatter correction for cone‐beam CT using flip swin transformer U‐shape network

X Zhang, Y Jiang, C Luo, D Li, T Niu, G Yu - Medical Physics, 2023 - Wiley Online Library
Background Cone beam computed tomography (CBCT) plays an increasingly important role
in image‐guided radiation therapy. However, the image quality of CBCT is severely …