Literature DB >> 29528826

Current and Novel Techniques for Metal Artifact Reduction at CT: Practical Guide for Radiologists.

Masaki Katsura1, Jiro Sato1, Masaaki Akahane1, Akira Kunimatsu1, Osamu Abe1.   

Abstract

Artifacts caused by metallic implants appear as dark and bright streaks at computed tomography (CT), which severely degrade the image quality and decrease the diagnostic value of the examination. When x-rays pass through a metal object, depending on its size and composition, different physical effects negatively affect the measurements in the detector, most notably the effects of photon starvation and beam hardening. To improve image quality and recover information about underlying structures, several artifact reduction methods have been introduced in modern CT systems. Projection-based metal artifact reduction (MAR) algorithms act in projection space and replace corrupted projections caused by metal with interpolation from neighboring uncorrupted projections. MAR algorithms primarily suppress artifacts that are due to photon starvation. The dual-energy CT technique is characterized by data acquisition at two different energy spectra. Dual-energy CT provides synthesized virtual monochromatic images at different photon energy (kiloelectron volt) levels, and virtual monochromatic images obtained at high kiloelectron volt levels are known to reduce the effects of beam hardening. In clinical practice, although MAR algorithms can be applied after image acquisition, the decision whether to apply dual-energy CT for the patient usually needs to be made before image acquisition. Radiologists should be more familiar with the clinical and technical features of each method and should be able to choose the optimal method according to the clinical situation. ©RSNA, 2018.

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Year:  2018        PMID: 29528826     DOI: 10.1148/rg.2018170102

Source DB:  PubMed          Journal:  Radiographics        ISSN: 0271-5333            Impact factor:   5.333


  43 in total

1.  Metal Artifact Reduction in Head CT Performed for Patients with Deep Brain Stimulation Devices: Effectiveness of a Single-Energy Metal Artifact Reduction Algorithm.

Authors:  Y Nagayama; S Tanoue; S Oda; D Sakabe; T Emoto; M Kidoh; H Uetani; A Sasao; T Nakaura; O Ikeda; K Yamada; Y Yamashita
Journal:  AJNR Am J Neuroradiol       Date:  2019-12-26       Impact factor: 3.825

2.  Model Image-Based Metal Artifact Reduction for Computed Tomography.

Authors:  Dmytro Luzhbin; Jay Wu
Journal:  J Digit Imaging       Date:  2020-02       Impact factor: 4.056

Review 3.  Cross-Sectional Imaging of Third Molar-Related Abnormalities.

Authors:  R M Loureiro; D V Sumi; H L V C Tames; S P P Ribeiro; C R Soares; R L E Gomes; M M Daniel
Journal:  AJNR Am J Neuroradiol       Date:  2020-09-10       Impact factor: 3.825

Review 4.  Unintended Consequences: Review of New Artifacts Introduced by Iterative Reconstruction CT Metal Artifact Reduction in Spine Imaging.

Authors:  D R Wayer; N Y Kim; B J Otto; A M Grayev; A D Kuner
Journal:  AJNR Am J Neuroradiol       Date:  2019-10-03       Impact factor: 3.825

Review 5.  Imaging spectrum of traumatic urinary bladder and urethral injuries.

Authors:  Sirote Wongwaisayawan; Satheesh Krishna; Adnan Sheikh; Rathachai Kaewlai; Nicola Schieda
Journal:  Abdom Radiol (NY)       Date:  2020-07-28

6.  Metal artifact reduction using mono-energy images combined with metal artifact reduction software in spectral computed tomography: a study on phantoms.

Authors:  Xiaoli Sun; Qingqing Zhao; Pengtao Sun; Zhipeng Yao; Rengui Wang
Journal:  Quant Imaging Med Surg       Date:  2020-07

7.  Single-energy metal artifact reduction technique for reducing metallic coil artifacts on post-interventional cerebral CT and CT angiography.

Authors:  Masaki Katsura; Jiro Sato; Masaaki Akahane; Taku Tajima; Toshihiro Furuta; Harushi Mori; Osamu Abe
Journal:  Neuroradiology       Date:  2018-08-24       Impact factor: 2.804

8.  Dual-Energy CT Images: Pearls and Pitfalls.

Authors:  Anushri Parakh; Simon Lennartz; Chansik An; Prabhakar Rajiah; Benjamin M Yeh; Frank J Simeone; Dushyant V Sahani; Avinash R Kambadakone
Journal:  Radiographics       Date:  2021 Jan-Feb       Impact factor: 5.333

9.  A Radiolucent Electromagnetic Tracking System for Use with Intraoperative X-ray Imaging.

Authors:  Kilian O'Donoghue; Herman Alexander Jaeger; Padraig Cantillon-Murphy
Journal:  Sensors (Basel)       Date:  2021-05-12       Impact factor: 3.576

10.  Fully implantable and bioresorbable cardiac pacemakers without leads or batteries.

Authors:  Yeon Sik Choi; Rose T Yin; Anna Pfenniger; Jahyun Koo; Raudel Avila; K Benjamin Lee; Sheena W Chen; Geumbee Lee; Gang Li; Yun Qiao; Alejandro Murillo-Berlioz; Alexi Kiss; Shuling Han; Seung Min Lee; Chenhang Li; Zhaoqian Xie; Yu-Yu Chen; Amy Burrell; Beth Geist; Hyoyoung Jeong; Joohee Kim; Hong-Joon Yoon; Anthony Banks; Seung-Kyun Kang; Zheng Jenny Zhang; Chad R Haney; Alan Varteres Sahakian; David Johnson; Tatiana Efimova; Yonggang Huang; Gregory D Trachiotis; Bradley P Knight; Rishi K Arora; Igor R Efimov; John A Rogers
Journal:  Nat Biotechnol       Date:  2021-06-28       Impact factor: 68.164

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