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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)…

Dual Energy Cone Beam Computed Tomography (DE-CBCT) is a promising technique for several medical applications, including dynamic angiography. Recently, a dynamical two-step method has been proposed : first, the water and iodine projections…

Medical Physics · Physics 2021-12-23 Frederic Jolivet , Georg Schramm , Johan Nuyts

This paper presents a two-stage method for beam hardening artifact correction of dental cone beam computerized tomography (CBCT). The proposed artifact reduction method is designed to improve the quality of maxillofacial imaging, where soft…

Computational Engineering, Finance, and Science · Computer Science 2020-10-09 T. Bayaraa , C. M. Hyun , T. J. Jang , S. M. Lee , J. K. Seo

Dynamic cone-beam computed tomography (CBCT) can capture high-spatial-resolution, time-varying images for motion monitoring, patient setup, and adaptive planning of radiotherapy. However, dynamic CBCT reconstruction is an extremely…

Medical Physics · Physics 2023-12-05 Hua-Chieh Shao , Mengke Tielige , Tinsu Pan , You Zhang

Contrast resolution beyond the limits of conventional cone-beam CT (CBCT) systems is essential to high-quality imaging of the brain. We present a deep learning reconstruction method (dubbed DL-Recon) that integrates physically principled…

Learned iterative reconstruction algorithms for inverse problems offer the flexibility to combine analytical knowledge about the problem with modules learned from data. This way, they achieve high reconstruction performance while ensuring…

Image and Video Processing · Electrical Eng. & Systems 2022-10-24 Mareike Thies , Fabian Wagner , Mingxuan Gu , Lukas Folle , Lina Felsner , Andreas Maier

Cone beam computed tomography (CBCT) for breast imaging has potential to replace conventional mammograms. However, concerns over dose and image quality prevent CBBCT systems from the clinical trial phase to next stage. The time of flight…

Medical Physics · Physics 2021-02-01 Ignacio O. Romero , Changqing Li

To shorten the door-to-puncture time for better treating patients with acute ischemic stroke, it is highly desired to obtain quantitative cerebral perfusion images using C-arm cone-beam computed tomography (CBCT) equipped in the…

Image and Video Processing · Electrical Eng. & Systems 2024-12-30 Haotian Zhao , Ruifeng Chen , Jing Yan , Juan Feng , Jun Xiang , Yang Chen , Dong Liang , Yinsheng Li

Reconstruction of CT images from a limited set of projections through an object is important in several applications ranging from medical imaging to industrial settings. As the number of available projections decreases, traditional…

Computer Vision and Pattern Recognition · Computer Science 2022-01-25 Anish Lahiri , Marc Klasky , Jeffrey A. Fessler , Saiprasad Ravishankar

Computed tomography (CT) is increasingly being used for cancer screening, such as early detection of lung cancer. However, CT studies have varying pixel spacing due to differences in acquisition parameters. Thick slice CTs have lower…

Computer Vision and Pattern Recognition · Computer Science 2018-07-19 Meng Li , Shiwen Shen , Wen Gao , William Hsu , Jason Cong

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,…

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

Cone Beam Computed Tomography (CBCT) is widely used in medical imaging. However, the limited number and intensity of X-ray projections make reconstruction an ill-posed problem with severe artifacts. NeRF-based methods have achieved great…

Image and Video Processing · Electrical Eng. & Systems 2025-06-25 Zhuowei Xu , Han Li , Dai Sun , Zhicheng Li , Yujia Li , Qingpeng Kong , Zhiwei Cheng , Nassir Navab , S. Kevin Zhou

Computed tomography (CT) has been developed as a non-destructive technique for observing minute internal images of samples. It has been difficult to obtain photo-realistic (clean or clear) CT images due to various unwanted artifacts…

Quantum Physics · Physics 2023-09-12 Kyungtaek Jun

In this paper, we present our approach to the 3D CBCT Challenge 2024, a part of ICASSP SP Grand Challenges 2024. Improvement in Cone Beam Computed Tomography (CBCT) reconstruction has been achieved by integrating Swin Image Restoration…

Image and Video Processing · Electrical Eng. & Systems 2024-11-19 Sasidhar Alavala , Subrahmanyam Gorthi

Cone-Beam Computed Tomography (CBCT) is widely used for real-time intraoperative imaging due to its low radiation dose and high acquisition speed. However, despite its high resolution, CBCT suffers from significant artifacts and thereby…

Image and Video Processing · Electrical Eng. & Systems 2025-06-11 Maximilian Tschuchnig , Lukas Lamminger , Philipp Steininger , Michael Gadermayr

This paper proposes a novel and fast self-supervised solution for sparse-view CBCT reconstruction (Cone Beam Computed Tomography) that requires no external training data. Specifically, the desired attenuation coefficients are represented as…

Image and Video Processing · Electrical Eng. & Systems 2022-09-30 Ruyi Zha , Yanhao Zhang , Hongdong Li

Cone beam computed tomography (CBCT)-guided puncture has become an established approach for diagnosing and treating early- to mid-stage thoracic tumours, yet the associated radiation exposure substantially elevates the risk of secondary…

Computer Vision and Pattern Recognition · Computer Science 2025-12-02 Haoshen Wang , Lei Chen , Wei-Hua Zhang , Linxia Wu , Yong Luo , Zengmao Wang , Yuan Xiong , Chengcheng Zhu , Wenjuan Tang , Xueyi Zhang , Wei Zhou , Xuhua Duan , Lefei Zhang , Gao-Jun Teng , Bo Du , Huangxuan Zhao

During spinal fusion surgery, screws are placed close to critical nerves suggesting the need for highly accurate screw placement. Verifying screw placement on high-quality tomographic imaging is essential. C-arm Cone-beam CT (CBCT) provides…

Computer Vision and Pattern Recognition · Computer Science 2022-01-20 Mareike Thies , Jan-Nico Zäch , Cong Gao , Russell Taylor , Nassir Navab , Andreas Maier , Mathias Unberath

The success of embolisation, a minimally invasive treatment of liver cancer, could be evaluated in the operational room with cone-beam CT by acquiring a dynamic perfusion scan. The reconstruction algorithm must address the issues of low…