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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

High quality reconstruction with interventional C-arm cone-beam computed tomography (CBCT) requires exact geometry information. If the geometry information is corrupted, e. g., by unexpected patient or system movement, the measured signal…

Metal artifacts present a frequent challenge to cone-beam CT (CBCT) in image-guided surgery, obscuring visualization of metal instruments and adjacent anatomy. Recent advances in mobile C-arm systems have enabled 3D imaging capacity with…

Deep learning based approaches have been used to improve image quality in cone-beam computed tomography (CBCT), a medical imaging technique often used in applications such as image-guided radiation therapy, implant dentistry or…

Computer Vision and Pattern Recognition · Computer Science 2024-03-28 Mohammadreza Amirian , Daniel Barco , Ivo Herzig , Frank-Peter Schilling

Cone Beam Computed Tomography (CBCT) is widely used in dentistry for diagnostics and treatment planning. CBCT Imaging has a long acquisition time and consequently, the patient is likely to move. This motion causes significant artifacts in…

Computer Vision and Pattern Recognition · Computer Science 2023-04-21 Abdul Salam Rasmi Asraf Ali , Andrea Fusiello , Claudio Landi , Cristina Sarti , Anneke Annassia Putri Siswadi

Low-dose dental cone beam computed tomography (CBCT) has been increasingly used for maxillofacial modeling. However, the presence of metallic inserts, such as implants, crowns, and dental filling, causes severe streaking and shading…

Image and Video Processing · Electrical Eng. & Systems 2022-02-09 Chang Min Hyun , Taigyntuya Bayaraa , Hye Sun Yun , Tae Jun Jang , Hyoung Suk Park , Jin Keun Seo

A conventional approach to computed tomography (CT) or cone beam CT (CBCT) metal artifact reduction is to replace the X-ray projection data within the metal trace with synthesized data. However, existing projection or sinogram completion…

Image and Video Processing · Electrical Eng. & Systems 2022-03-24 Haofu Liao , Wei-An Lin , Zhimin Huo , Levon Vogelsang , William J. Sehnert , S. Kevin Zhou , Jiebo Luo

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

Diagnostic stroke imaging with C-arm cone-beam computed tomography (CBCT) enables reduction of time-to-therapy for endovascular procedures. However, the prolonged acquisition time compared to helical CT increases the likelihood of rigid…

Image and Video Processing · Electrical Eng. & Systems 2019-12-02 Alexander Preuhs , Michael Manhart , Philipp Roser , Bernhard Stimpel , Christopher Syben , Marios Psychogios , Markus Kowarschik , Andreas Maier

Metal artifact correction is a challenging problem in cone beam computed tomography (CBCT) scanning. Metal implants inserted into the anatomy cause severe artifacts in reconstructed images. Widely used inpainting-based metal artifact…

Image and Video Processing · Electrical Eng. & Systems 2023-10-10 Harshit Agrawal , Ari Hietanen , Simo Särkkä

This study introduces a novel reconstruction method for dental cone-beam computed tomography (CBCT), focusing on effectively reducing metal-induced artifacts commonly encountered in the presence of prevalent metallic implants. Despite…

Computer Vision and Pattern Recognition · Computer Science 2023-07-28 Hyoung Suk Park , Kiwan Jeon , Jin Keun Seo

Cone-beam computed tomography (CBCT) is routinely collected during image-guided radiation therapy (IGRT) to provide updated patient anatomy information for cancer treatments. However, CBCT images often suffer from streaking artifacts and…

Computer Vision and Pattern Recognition · Computer Science 2023-11-02 Jiarui Zhu , Werxing Chen , Hongfei Sun , Shaohua Zhi , Jing Qin , Jing Cai , Ge Ren

In computed tomography (CT), metal implants increase the inconsistencies between the measured data and the linear attenuation assumption made by analytic CT reconstruction algorithms. The inconsistencies give rise to dark and bright bands…

Computer Vision and Pattern Recognition · Computer Science 2018-08-07 Sungsoo Ha , Klaus Mueller

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

Metallic implants introduce severe artifacts in CT images, which degrades the image quality. It is an effective method to reduce metal artifacts by replacing the metal affected projection with the forward projection of a prior image. How to…

Medical Physics · Physics 2014-09-05 Yanbo Zhang , Xuanqian Mou

Cone-beam computed tomography (CBCT) is an important tool facilitating computer aided interventions, despite often suffering from artifacts that pose challenges for accurate interpretation. While the degraded image quality can affect…

Image and Video Processing · Electrical Eng. & Systems 2024-07-02 Maximilian E. Tschuchnig , Philipp Steininger , Michael Gadermayr

We present an effective post-processing method to reduce the artifacts from sparsely reconstructed cone-beam CT (CBCT) images. The proposed method is based on the state-of-the-art, image-to-image generative models with a perceptual loss as…

Computer Vision and Pattern Recognition · Computer Science 2018-12-11 Haofu Liao , Zhimin Huo , William J. Sehnert , Shaohua Kevin Zhou , Jiebo Luo

During X-ray computed tomography (CT) scanning, metallic implants carrying with patients often lead to adverse artifacts in the captured CT images and then impair the clinical treatment. Against this metal artifact reduction (MAR) task, the…

Image and Video Processing · Electrical Eng. & Systems 2022-12-27 Hong Wang , Qi Xie , Yuexiang Li , Yawen Huang , Deyu Meng , Yefeng Zheng

The existence of metallic implants in projection images for cone-beam computed tomography (CBCT) introduces undesired artifacts which degrade the quality of reconstructed images. In order to reduce metal artifacts, projection inpainting is…

Computer Vision and Pattern Recognition · Computer Science 2022-11-30 Fuxin Fan , Yangkong Wang , Ludwig Ritschl , Ramyar Biniazan , Marcel Beister , Björn Kreher , Yixing Huang , Steffen Kappler , Andreas Maier

Limited-angle computed tomography (CT) is often used in clinical applications such as C-arm CT for interventional imaging. However, CT images from limited angles suffers from heavy artifacts due to incomplete projection data. Existing…

Computer Vision and Pattern Recognition · Computer Science 2017-08-01 Jawook Gu , Jong Chul Ye
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