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Cone-beam computed tomography (CBCT) is widely used for image-guided radiotherapy (IGRT). It provides real time visualization at low cost and dose. However, photon scattering and beam hindrance cause artifacts in CBCT. These include…

Medical Physics · Physics 2025-09-29 Alzahra Altalib , Chunhui Li , Alessandro Perelli

Background: Daily or weekly cone-beam computed tomography (CBCT) scans are commonly used for accurate patient positioning during the image-guided radiotherapy (IGRT) process, making it an ideal option for adaptive radiotherapy (ART)…

Background: Cone-beam computed tomography (CBCT) scans, performed fractionally (e.g., daily or weekly), are widely utilized for patient alignment in the image-guided radiotherapy (IGRT) process, thereby making it a potential imaging…

Cone-beam CT (CBCT) is routinely acquired during radiotherapy for patient setup, but its quantitative reliability is degraded by scatter, noise, and reconstruction artifacts, limiting Hounsfield Unit (HU) accuracy. We propose EPC-3D-Diff, a…

Computer Vision and Pattern Recognition · Computer Science 2026-05-21 Alzahra Altalib , Chunhui Li , Haytham Al Ewaidat , Khaled Alawneh , Ahmad Qendel , Alessandro Perelli

Cone beam computed tomography (CBCT) images can be used for dose calculation in adaptive radiation therapy (ART). The main challenges are the large artefacts and inaccurate Hounsfield unit (HU) values. Currently, deformed planning CT images…

Medical Physics · Physics 2019-09-04 Xiao Liang , Liyuan Chen , Dan Nguyen , Zhiguo Zhou , Xuejun Gu , Ming Yang , Jing Wang , Steve Jiang

Accurate dose calculations in proton therapy rely on high-quality CT images. While planning CTs (pCTs) serve as a reference for dosimetric planning, Cone Beam CT (CBCT) is used throughout Adaptive Radiotherapy (ART) to generate sCTs for…

Computer Vision and Pattern Recognition · Computer Science 2025-03-12 David Vallmanya Poch , Yorick Estievenart , Elnura Zhalieva , Sukanya Patra , Mohammad Yaqub , Souhaib Ben Taieb

Radiation therapy (RT) requires precise dose delivery over multiple fractions, with CT fundamental for treatment planning due to its electron density information. Repeated CT acquisitions impose radiation exposure and logistical burdens,…

In radiation therapy (RT), the reliance on pre-treatment computed tomography (CT) images encounter challenges due to anatomical changes, necessitating adaptive planning. Daily cone-beam CT (CBCT) imaging, pivotal for therapy adjustment,…

Computer Vision and Pattern Recognition · Computer Science 2024-09-20 Joonil Hwang , Sangjoon Park , NaHyeon Park , Seungryong Cho , Jin Sung Kim

Objective: Cone-beam computed tomography (CBCT) provides a low-dose imaging alternative to conventional CT, but suffers from noise, scatter, and artifacts that degrade image quality. Synthetic CT (sCT) aims to translate CBCT to high-quality…

Medical Physics · Physics 2025-09-23 Alzahra Altalib , Chunhui Li , Alessandro Perelli

Background: Cone-beam computed tomography (CBCT) plays a crucial role in image-guided radiotherapy, but artifacts and noise make them unsuitable for accurate dose calculation. Artificial intelligence methods have shown promise in enhancing…

Image and Video Processing · Electrical Eng. & Systems 2024-11-05 Shi Yin , Hongqi Tan , Li Ming Chong , Haofeng Liu , Hui Liu , Kang Hao Lee , Jeffrey Kit Loong Tuan , Dean Ho , Yueming Jin

Daily or weekly cone-beam computed tomography (CBCT) is employed in image-guided radiotherapy (IGRT) for precise patient alignment. However, its clinical utility in quantitative tasks is hindered by severe artifacts and inaccurate Hounsfeld…

Medical Physics · Physics 2026-03-09 Junbo Peng , Huiqiao Xie , Tonghe Wang , Xiangyang Tang , Xiaofeng Yang

Cone-beam computed tomography (CBCT) is an imaging modality widely used in head and neck diagnostics due to its accessibility and lower radiation dose. However, its relatively long acquisition times make it susceptible to patient motion,…

The purpose of this work is to provide a fast and accurate scatter artifacts correction algorithm for cone beam CT (CBCT) imaging. The method starts with an estimation of coarse scatter profiles for a set of CBCT data in either image domain…

Medical Physics · Physics 2016-04-27 Wei Zhao , Don Vernekohl , Jun Zhu , Luyao Wang , Lei Xing

Cone-beam computed tomography (CBCT) images are problematic in clinical medicine because of their low contrast and high artifact content compared with conventional CT images. Although there are some studies to improve image quality, in…

Image and Video Processing · Electrical Eng. & Systems 2026-03-30 Naruki Murahashi , Mitsuhiro Nakamura , Megumi Nakao

Cone-beam CT (CBCT) is installed in the treatment room to facilitate online clinical applications, including image guidance in radiation and surgery. Half-fan and short-can are the commonly used modes in clinical applications to expand the…

Medical Physics · Physics 2022-05-24 Junbo Peng

Adaptive Radiation Therapy (ART) was developed based on Image-guided Radiation Therapy (IGRT) and it is the trend of photon radiation therapy. To get a better use of Cone Beam CT (CBCT) images for ART, the CBCT system model was established…

Medical Physics · Physics 2014-08-21 Yu Wang , Chaobin Chen , Ruifen Cao , Liqin Hu , Bingbing Li

Background: Dual-energy imaging on cone-beam CT (CBCT) scanners has great potential in different clinical applications, including image-guided surgery and adaptive proton therapy. However, the clinical practice of dual-energy CBCT (DE-CBCT)…

Scatter can account for large errors in cone-beam CT (CBCT) due to its wide field of view, and its complicated nature makes its compensation difficult. Iterative polyenergetic reconstruction algorithms offer the potential to provide…

Medical Physics · Physics 2020-01-13 Jonathan H. Mason , Alessandro Perelli , William H. Nailon , Mike E. Davies

Cone-beam CT (CBCT) employs a flat-panel detector to achieve three-dimensional imaging with high spatial resolution. However, CBCT is susceptible to scatter during data acquisition, which introduces CT value bias and reduced tissue contrast…

Computer Vision and Pattern Recognition · Computer Science 2025-10-29 Xu Jiang , Huiying Pan , Ligen Shi , Jianing Sun , Wenfeng Xu , Xing Zhao
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