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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

The coded aperture imaging technique is a useful method of X-ray imaging in observational astrophysics. However, the presence of imaging noise or so-called artifacts in a decoded image is a drawback of this method. We propose a new coded…

Instrumentation and Methods for Astrophysics · Physics 2020-08-03 Tomoaki Kasuga , Hirokazu Odaka , Kosuke Hatauchi , Satoshi Takashima , Tsubasa Tamba , Yuki Aizawa , Soichiro Hashiba , Aya Bamba , Yuanhui Zhou , Toru Tamagawa

Optical projection tomography (OPT) is a powerful tool for biomedical studies. It achieves 3D visualization of mesoscopic biological samples with high spatial resolution using conventional tomographic-reconstruction algorithms. However,…

Optics · Physics 2025-02-07 Yan Liu , Jonathan Dong , Thanh-an Pham , François Marelli , Michael Unser

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

In fully sampled cardiac MR (CMR) acquisitions, motion can lead to corruption of k-space lines, which can result in artefacts in the reconstructed images. In this paper, we propose a method to automatically detect and correct motion-related…

Image and Video Processing · Electrical Eng. & Systems 2019-06-14 lkay Oksuz , James Clough , Bram Ruijsink , Esther Puyol-Anton , Aurelien Bustin , Gastao Cruz , Claudia Prieto , Daniel Rueckert , Andrew P. King , Julia A. Schnabel

The mathematical foundation of X-ray CT is based on the assumption that by measuring the attenuation of X-rays passing through an object, one can recover the integrals of the attenuation coefficient $\mu(x)$ along a sufficiently rich family…

Numerical Analysis · Mathematics 2025-05-07 Alexander Katsevich

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

Metal artifacts caused by the presence of metallic implants tremendously degrade the reconstructed computed tomography (CT) image quality, affecting clinical diagnosis or reducing the accuracy of organ delineation and dose calculation in…

Undersampled CT volumes minimize acquisition time and radiation exposure but introduce artifacts degrading image quality and diagnostic utility. Reducing these artifacts is critical for high-quality imaging. We propose a computationally…

Computer Vision and Pattern Recognition · Computer Science 2026-02-10 Johannes Thalhammer , Tina Dorosti , Sebastian Peterhansl , Daniela Pfeiffer , Franz Pfeiffer , Florian Schaff

X-ray interferometry is an emerging imaging modality with a wide variety of potential clinical applications, including lung imaging. A grating interferometer uses a diffraction grating to produce a periodic interference pattern and measures…

The presence of metal implants within CT imaging causes severe attenuation of the X-ray beam. Due to the incomplete information recorded by CT detectors, artifacts in the form of streaks and dark bands would appear in the resulting CT…

Detection of unwanted (`foreign') objects within products is a common procedure in many branches of industry for maintaining production quality. X-ray imaging is a fast, non-invasive and widely applicable method for foreign object…

Computer Vision and Pattern Recognition · Computer Science 2022-08-19 Mathé T. Zeegers , Tristan van Leeuwen , Daniël M. Pelt , Sophia Bethany Coban , Robert van Liere , Kees Joost Batenburg

We study streaking artifacts caused by beam-hardening effects in X-ray computed tomography (CT). The effect is known to be nonlinear. We show that the nonlinearity can be recovered from the observed artifacts for strictly convex bodies. The…

Analysis of PDEs · Mathematics 2023-04-12 Yiran Wang

During the process of computed tomography (CT), metallic implants often cause disruptive artifacts in the reconstructed images, impeding accurate diagnosis. Several supervised deep learning-based approaches have been proposed for reducing…

Image and Video Processing · Electrical Eng. & Systems 2024-01-08 Xuan Liu , Yaoqin Xie , Songhui Diao , Shan Tan , Xiaokun Liang

Metal Artifacts creates often difficulties for a high quality visual assessment of post-operative imaging in {c}omputed {t}omography (CT). A vast body of methods have been proposed to tackle this issue, but {these} methods were designed for…

Computer Vision and Pattern Recognition · Computer Science 2021-04-27 Wang Zihao , Vandersteen Clair , Demarcy Thomas , Gnansia Dan , Raffaelli Charles , Guevara Nicolas , Delingette Herve

Limited angle problem is a challenging issue in x-ray computed tomography (CT) field. Iterative reconstruction methods that utilize the additional prior can suppress artifacts and improve image quality, but unfortunately require increased…

Medical Physics · Physics 2016-10-04 Hanming Zhang , Liang Li , Kai Qiao , Linyuan Wang , Bin Yan , Lei Li , Guoen Hu

Metal artefact reduction (MAR) techniques aim at removing metal-induced noise from clinical images. In Computed Tomography (CT), supervised deep learning approaches have been shown effective but limited in generalisability, as they mostly…

Computer Vision and Pattern Recognition · Computer Science 2020-04-21 Marta B. M. Ranzini , Irme Groothuis , Kerstin Kläser , M. Jorge Cardoso , Johann Henckel , Sébastien Ourselin , Alister Hart , Marc Modat

Objective: X-ray computed tomography employing sparse projection views has emerged as a contemporary technique to mitigate radiation dose. However, due to the inadequate number of projection views, an analytic reconstruction method…

Machine Learning · Computer Science 2025-01-10 Yoseob Han

Metal artifact reduction (MAR) is a challenging problem in computed tomography (CT) imaging. A popular class of MAR methods replace sinogram measurements that are corrupted by metal with artificial data. While these ``projection…

Medical Physics · Physics 2021-01-27 T. Humphries , J. Wang

Optical projection tomography (OPT) is a powerful tool for biomedical studies. It achieves 3D visualization of mesoscopic biological samples with high spatial resolution using conventional tomographic-reconstruction algorithms. However,…

Computer Vision and Pattern Recognition · Computer Science 2023-10-02 Yan Liu , Jonathan Dong , Thanh-An Pham , Francois Marelli , Michael Unser