CBCT‐Based synthetic CT image generation using conditional denoising diffusion probabilistic model
Background Daily or weekly cone‐beam computed tomography (CBCT) scans are
commonly used for accurate patient positioning during the image‐guided radiotherapy …
commonly used for accurate patient positioning during the image‐guided radiotherapy …
Improving CBCT quality to CT level using deep learning with generative adversarial network
Purpose To improve image quality and computed tomography (CT) number accuracy of
daily cone beam CT (CBCT) through a deep learning methodology with generative …
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 …
compensation algorithm. This paper completes a previous paper where a general …
A post‐reconstruction method to correct cupping 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 cupping artifact. Besides being visual distractions …
biasing of CT numbers known as a cupping 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 …
daily cone-beam computed tomography (CBCT) using registration generative adversarial …
Breath-Hold CBCT-Guided CBCT-to-CT Synthesis via Multimodal Unsupervised Representation Disentanglement Learning
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 …
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 …
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
Background Cone‐beam computed tomography (CBCT) scans, performed fractionally (eg,
daily or weekly), are widely utilized for patient alignment in the image‐guided radiotherapy …
daily or weekly), are widely utilized for patient alignment in the image‐guided radiotherapy …
基于平板探测器的锥束CT 散射校正方法
胡栋材， 陈浩， 张定华 - CT 理论与应用研究, 2009 - cttacn.org.cn
针对基于平板探测器的锥束CT 系统固然存在的散射伪影, 提出在X 射线源和被检测物体之间
添加一个射束衰减网格装置的散射校正方法. 本文首先介绍了射束衰减网格的实验装置 …
添加一个射束衰减网格装置的散射校正方法. 本文首先介绍了射束衰减网格的实验装置 …
[HTML][HTML] Shading correction for volumetric CT using deep convolutional neural network and adaptive filter
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 …
spatial non-uniformity (SNU), which is considered as one of the fundamental limitations for …