CBCT‐Based synthetic CT image generation using conditional denoising diffusion probabilistic model

J Peng, RLJ Qiu, JF Wynne, CW Chang, S Pan… - Medical …, 2024 - Wiley Online Library
Background Daily or weekly cone‐beam computed tomography (CBCT) scans are
commonly used for accurate patient positioning during the image‐guided radiotherapy …

Improving CBCT quality to CT level using deep learning with generative adversarial network

Y Zhang, N Yue, MY Su, B Liu, Y Ding, Y Zhou… - Medical …, 2021 - Wiley Online Library
Purpose To improve image quality and computed tomography (CT) number accuracy of
daily cone beam CT (CBCT) through a deep learning methodology with generative …

A general framework and review of scatter correction methods in cone beam CT. Part 2: scatter estimation approaches

EP Rührnschopf and, K Klingenbeck - Medical physics, 2011 - Wiley Online Library
The main components of scatter correction procedures are scatter estimation and a scatter
compensation algorithm. This paper completes a previous paper where a general …

A post‐reconstruction method to correct cup** artifacts in cone beam breast computed tomography

MC Altunbas, CC Shaw, L Chen, C Lai, X Liu… - Medical …, 2007 - Wiley Online Library
In cone beam breast computed tomography (CT), scattered radiation leads to nonuniform
biasing of CT numbers known as a cup** artifact. Besides being visual distractions …

Improving CBCT image quality to the CT level using RegGAN in esophageal cancer adaptive radiotherapy

H Wang, X Liu, L Kong, Y Huang, H Chen, X Ma… - Strahlentherapie und …, 2023 - Springer
Objective This study aimed to improve the image quality and CT Hounsfield unit accuracy of
daily cone-beam computed tomography (CBCT) using registration generative adversarial …

Breath-Hold CBCT-Guided CBCT-to-CT Synthesis via Multimodal Unsupervised Representation Disentanglement Learning

Y Zhang, C Li, Z Dai, L Zhong, X Wang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Adaptive radiation therapy (ART) aims to deliver radiotherapy accurately and precisely in the
presence of anatomical changes, in which the synthesis of computed tomography (CT) from …

NPS characterization and evaluation of a cone beam CT breast imaging system

RB Benítez, R Ning, D Conover… - Journal of X-ray science …, 2009 - content.iospress.com
Abstract The Noise Power Spectrum (NPS) is a function that yields information about the
spatial frequency composition of noise in images obtained by a system. It is evaluated by …

Unsupervised Bayesian generation of synthetic CT from CBCT using patient‐specific score‐based prior

J Peng, Y Gao, CW Chang, R Qiu, T Wang… - Medical …, 2024 - Wiley Online Library
Background Cone‐beam computed tomography (CBCT) scans, performed fractionally (eg,
daily or weekly), are widely utilized for patient alignment in the image‐guided radiotherapy …

[HTML][HTML] Shading correction for volumetric CT using deep convolutional neural network and adaptive filter

X Liang, N Li, Z Zhang, S Yu, W Qin, Y Li… - … imaging in medicine …, 2019 - ncbi.nlm.nih.gov
Background Shading artifact may lead to CT number inaccuracy, image contrast loss and
spatial non-uniformity (SNU), which is considered as one of the fundamental limitations for …

Characterization of X-ray scattering for various phantoms and clinical breast geometries using breast CT on a dedicated hybrid system

JP Shah, SD Mann, MP Tornai - Journal of X-ray Science and …, 2017 - content.iospress.com
OBJECTIVE: The purpose of this study was to utilize a dedicated breast CT system using a
2D beam stop array to physically evaluate the scatter to primary ratios (SPRs) of different …