English
Related papers

Related papers: Cone-Beam CT Image Quality Enhancement Using A Lat…

200 papers

Computed Tomography (CT) is a widely used imaging modality in medical and industrial applications. To limit radiation exposure and measurement time, there is a growing interest in sparse-view CT, where the number of projection views is…

Image and Video Processing · Electrical Eng. & Systems 2026-05-04 Luis Barba , Johannes Kirschner , Benjamin Bejar

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)…

In computer-assisted orthodontics, three-dimensional tooth models are required for many medical treatments. Tooth segmentation from cone-beam computed tomography (CBCT) images is a crucial step in constructing the models. However, CBCT…

Image and Video Processing · Electrical Eng. & Systems 2023-07-06 Jiaxiang Liu , Tianxiang Hu , Yang Feng , Wanghui Ding , Zuozhu Liu

Cone-beam computed tomography (CBCT) is a critical 3D imaging technology in the medical field, while the high radiation exposure required for high-quality imaging raises significant concerns, particularly for vulnerable populations.…

Image and Video Processing · Electrical Eng. & Systems 2026-03-10 Yiqun Lin , Jixiang Chen , Hualiang Wang , Jiewen Yang , Jiarong Guo , Yi Zhang , Xiaomeng Li

Cone-beam computed tomography (CBCT) systems, with their flexibility, present a promising avenue for direct point-of-care medical imaging, particularly in critical scenarios such as acute stroke assessment. However, the integration of CBCT…

The dose of X-ray radiation and the scanning time are crucial factors in computed tomography (CT) for clinical applications. In this work, we introduce a multi-source static CT imaging system designed to rapidly acquire sparse view and…

Medical Physics · Physics 2025-01-03 Ziju Shen , Haimiao Zhang , Bin Dong , Jun Qiu , Yunxiang Li , Zhili Cui

In Cone-Beam CT (CBCT) imaging systems, the scattering phenomenon has a significant impact on the reconstructed image and is a long-lasting research topic on CBCT. In this paper, we propose a simple, novel and fast approach for mitigating…

Medical Physics · Physics 2016-04-07 Shi-peng Xie , Rui-ju Yan

Limited-angle computed tomography (LACT) offers improved temporal resolution and reduced radiation dose for cardiac imaging, but suffers from severe artifacts due to truncated projections. To address the ill-posedness of LACT…

Computer Vision and Pattern Recognition · Computer Science 2026-03-30 Yu Shi , Shuyi Fan , Changsheng Fang , Shuo Han , Haodong Li , Li Zhou , Bahareh Morovati , Dayang Wang , Hengyong Yu

Patients undergoing a mechanical thrombectomy procedure usually have a multi-detector CT (MDCT) scan before and after the intervention. The image quality of the flat panel detector CT (FDCT) present in the intervention room is generally…

Image and Video Processing · Electrical Eng. & Systems 2025-08-28 Hélène Corbaz , Anh Nguyen , Victor Schulze-Zachau , Paul Friedrich , Alicia Durrer , Florentin Bieder , Philippe C. Cattin , Marios N Psychogios

Computed Tomography (CT) scans are the standard-of-care for the visualization and diagnosis of many clinical ailments, and are needed for the treatment planning of external beam radiotherapy. Unfortunately, the availability of CT scanners…

Image and Video Processing · Electrical Eng. & Systems 2024-08-28 Yiran Sun , Hana Baroudi , Tucker Netherton , Laurence Court , Osama Mawlawi , Ashok Veeraraghavan , Guha Balakrishnan

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

Diffusion priors have been used for blind face restoration (BFR) by fine-tuning diffusion models (DMs) on restoration datasets to recover low-quality images. However, the naive application of DMs presents several key limitations. (i) The…

Computer Vision and Pattern Recognition · Computer Science 2025-03-25 Senmao Li , Kai Wang , Joost van de Weijer , Fahad Shahbaz Khan , Chun-Le Guo , Shiqi Yang , Yaxing Wang , Jian Yang , Ming-Ming Cheng

Metal artifacts in computed tomography (CT) arise from a mismatch between physics of image formation and idealized assumptions during tomographic reconstruction. These artifacts are particularly strong around metal implants, inhibiting…

Image and Video Processing · Electrical Eng. & Systems 2019-09-20 Jan-Nico Zaech , Cong Gao , Bastian Bier , Russell Taylor , Andreas Maier , Nassir Navab , Mathias Unberath

Low-dose computed tomography (CT) images suffer from noise and artifacts due to photon starvation and electronic noise. Recently, some works have attempted to use diffusion models to address the over-smoothness and training instability…

Image and Video Processing · Electrical Eng. & Systems 2024-01-10 Qi Gao , Zilong Li , Junping Zhang , Yi Zhang , Hongming Shan

Denoising diffusion models achieved impressive results on several image generation tasks often outperforming GAN based models. Recently, the generative capabilities of diffusion models have been employed for perceptual image compression,…

Image and Video Processing · Electrical Eng. & Systems 2025-05-20 Jonas Brenig , Radu Timofte

Positron Emission Tomography (PET) and Computed Tomography (CT) are essential for diagnosing, staging, and monitoring various diseases, particularly cancer. Despite their importance, the use of PET/CT systems is limited by the necessity for…

Image and Video Processing · Electrical Eng. & Systems 2024-10-30 Dac Thai Nguyen , Trung Thanh Nguyen , Huu Tien Nguyen , Thanh Trung Nguyen , Huy Hieu Pham , Thanh Hung Nguyen , Thao Nguyen Truong , Phi Le Nguyen

Medical imaging is vital in computer assisted intervention. Particularly cone beam computed tomography (CBCT) with defacto real time and mobility capabilities plays an important role. However, CBCT images often suffer from artifacts, which…

Computer Vision and Pattern Recognition · Computer Science 2024-07-23 Maximilian E. Tschuchnig , Philipp Steininger , Michael Gadermayr

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

Computed Tomography (CT) is a widely utilized imaging modality in clinical settings. Using densely acquired rotational X-ray arrays, CT can capture 3D spatial features. However, it is confronted with challenged such as significant time…

Image and Video Processing · Electrical Eng. & Systems 2025-07-16 Duoyou Chen , Yunqing Chen , Can Zhang , Zhou Wang , Cheng Chen , Ruoxiu Xiao

Continuous Conditional Diffusion Model (CCDM) is a diffusion-based framework designed to generate high-quality images conditioned on continuous regression labels. Although CCDM has demonstrated clear advantages over prior approaches across…

Computer Vision and Pattern Recognition · Computer Science 2026-02-03 Xin Ding , Yun Chen , Sen Zhang , Kao Zhang , Nenglun Chen , Peibei Cao , Yongwei Wang , Fei Wu