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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…

计算机视觉与模式识别 · 计算机科学 2018-08-07 Sungsoo Ha , Klaus Mueller

Metal artifact reduction (MAR) in computed tomography (CT) is a notoriously challenging task because the artifacts are structured and non-local in the image domain. However, they are inherently local in the sinogram domain. Thus, one…

图像与视频处理 · 电气工程与系统科学 2021-03-09 Yuanyuan Lyu , Wei-An Lin , Haofu Liao , Jingjing Lu , S. Kevin Zhou

The presence of metallic implants often introduces severe metal artifacts in the X-ray CT images, which could adversely influence clinical diagnosis or dose calculation in radiation therapy. In this work, we present a novel…

图像与视频处理 · 电气工程与系统科学 2021-09-29 Lequan Yu , Zhicheng Zhang , Xiaomeng Li , Hongyi Ren , Wei Zhao , 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…

医学物理 · 物理学 2014-09-05 Yanbo Zhang , Xuanqian Mou

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…

图像与视频处理 · 电气工程与系统科学 2023-10-10 Harshit Agrawal , Ari Hietanen , Simo Särkkä

Computed tomography (CT) has been widely used for medical diagnosis, assessment, and therapy planning and guidance. In reality, CT images may be affected adversely in the presence of metallic objects, which could lead to severe metal…

图像与视频处理 · 电气工程与系统科学 2020-09-17 Lequan Yu , Zhicheng Zhang , Xiaomeng Li , Lei Xing

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…

Cone Beam Computed Tomography (CBCT) plays a key role in dental diagnosis and surgery. However, the metal teeth implants could bring annoying metal artifacts during the CBCT imaging process, interfering diagnosis and downstream processing…

图像与视频处理 · 电气工程与系统科学 2024-04-19 Yuxuan Shi , Jun Xu , Dinggang Shen

In-scanner motion degrades the quality of magnetic resonance imaging (MRI) thereby reducing its utility in the detection of clinically relevant abnormalities. We introduce a deep learning-based MRI artifact reduction model (DMAR) to…

图像与视频处理 · 电气工程与系统科学 2020-11-03 Yijun Zhao , Jacek Ossowski , Xuming Wang , Shangjin Li , Orrin Devinsky , Samantha P. Martin , Heath R. Pardoe

With the increasing complexity of external beam therapy, so-called "end-to-end" tests are intended to cover all steps from therapy planning to follow-up to fulfill the high demands on quality assurance. As magnetic resonance imaging (MRI)…

Metal artifacts in computed tomography (CT) imaging pose significant challenges to accurate clinical diagnosis. The presence of high-density metallic implants results in artifacts that deteriorate image quality, manifesting in the forms of…

计算机视觉与模式识别 · 计算机科学 2024-08-30 Xinrui Zhang , Ailong Cai , Shaoyu Wang , Linyuan Wang , Zhizhong Zheng , Lei Li , Bin Yan

An X-ray computed tomography (CT), metal artifact reduction (MAR) remains a major challenge because metallic implants violate standard CT forward-model assumptions, producing severe streaking and shadowing artifacts that degrade diagnostic…

图像与视频处理 · 电气工程与系统科学 2026-03-17 Hyoung Suk Park , Kiwan Jeon

Large medical imaging data sets are becoming increasingly available, but ensuring sample quality without significant artefacts is challenging. Existing methods for identifying imperfections in medical imaging rely on data-intensive…

图像与视频处理 · 电气工程与系统科学 2023-11-15 Daniele Ravi , Frederik Barkhof , Daniel C. Alexander , Lemuel Puglisi , Geoffrey JM Parker , Arman Eshaghi

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…

图像与视频处理 · 电气工程与系统科学 2022-02-09 Chang Min Hyun , Taigyntuya Bayaraa , Hye Sun Yun , Tae Jun Jang , Hyoung Suk Park , Jin Keun Seo

Metal implants in MRI cause severe artifacts that degrade image quality and hinder clinical diagnosis. Traditional approaches address metal artifact reduction (MAR) and accelerated MRI acquisition as separate problems. We propose MASC, a…

Purpose: To develop bone material analogues that can be used in construction of phantoms for simultaneous PET/MRI systems. Methods: Plaster was used as the basis for the bone material analogues tested in this study. It was mixed with…

Artifacts pose a significant challenge in medical imaging, impacting diagnostic accuracy and downstream analysis. While image-based approaches for detecting artifacts can be effective, they often rely on preprocessing methods that can lead…

图像与视频处理 · 电气工程与系统科学 2025-08-08 Caner Özer , Patryk Rygiel , Bram de Wilde , İlkay Öksüz , Jelmer M. Wolterink

The positive outcome of a trauma intervention depends on an intraoperative evaluation of inserted metallic implants. Due to occurring metal artifacts, the quality of this evaluation heavily depends on the performance of so-called Metal…

图像与视频处理 · 电气工程与系统科学 2021-12-07 Tristan M. Gottschalk , Andreas Maier , Florian Kordon , Björn W. Kreher

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…

In the presence of metal implants, metal artifacts are introduced to x-ray CT images. Although a large number of metal artifact reduction (MAR) methods have been proposed in the past decades, MAR is still one of the major problems in…

医学物理 · 物理学 2018-04-23 Yanbo Zhang , Hengyong Yu
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