An unsupervised dual contrastive learning framework for scatter correction in cone-beam CT image
Purpose: Cone-beam computed tomography (CBCT) is widely utilized in modern
radiotherapy; however, CBCT images exhibit increased scatter artifacts compared to …
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 …
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
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 …
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
Objective. Four-dimensional cone-beam computed tomography (4D CBCT) has unique
advantages in moving target localization, tracking and therapeutic dose accumulation in …
advantages in moving target localization, tracking and therapeutic dose accumulation in …
A deep unsupervised learning model for artifact correction of pelvis cone-beam CT
Purpose In recent years, cone-beam computed tomography (CBCT) is increasingly used in
adaptive radiation therapy (ART). However, compared with planning computed tomography …
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 …
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 …
(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 …
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
Abstract Purpose Cone‐beam CT (CBCT) has been widely utilized in image‐guided
radiotherapy. Planning CT (pCT)‐aided CBCT scatter correction could further enhance …
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
Background Cone beam computed tomography (CBCT) plays an increasingly important role
in image‐guided radiation therapy. However, the image quality of CBCT is severely …
in image‐guided radiation therapy. However, the image quality of CBCT is severely …