Literature DB >> 17495293

Overcoming artifacts from metallic orthopedic implants at high-field-strength MR imaging and multi-detector CT.

Mi-Jung Lee1, Sungjun Kim, Sung-Ah Lee, Ho-Taek Song, Yong-Min Huh, Dae-Hong Kim, Seung Hwan Han, Jin-Suck Suh.   

Abstract

At magnetic resonance (MR) imaging and multidetector computed tomography (CT), artifacts arising from metallic orthopedic hardware are an obstacle to obtaining optimal images. Although various techniques for reducing such artifacts have been developed and corroborated by previous researchers, a new era of more powerful MR imaging and multidetector CT modalities has renewed the importance of a systematic consideration of methods for artifact reduction. Knowledge of the factors that contribute to artifacts, of related theories, and of artifact reduction techniques has become mandatory for radiologists. Factors that affect artifacts on MR images include the composition of the metallic hardware, the orientation of the hardware in relation to the direction of the main magnetic field, the strength of the magnetic field, the pulse sequence type, and other MR imaging parameters (mainly voxel size, which is determined by the field of view, image matrix, section thickness, and echo train length). At multidetector CT, the factors that affect artifacts include the composition of the hardware, orientation of the hardware, acquisition parameters (peak voltage, tube charge, collimation, and acquired section thickness), and reconstruction parameters (reconstructed section thickness, reconstruction algorithm used, and whether an extended CT scale was used). A comparison of images obtained with different hardware and different acquisition and reconstruction parameters facilitates an understanding of methods for reducing or overcoming artifacts related to metallic implants. (c) RSNA, 2007.

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Year:  2007        PMID: 17495293     DOI: 10.1148/rg.273065087

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


  126 in total

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3.  Reducing the effects of metal artefact using high keV monoenergetic reconstruction of dual energy CT (DECT) in hip replacements.

Authors:  Mark Lewis; Karen Reid; Andoni P Toms
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4.  Usefulness of IDEAL T2-weighted FSE and SPGR imaging in reducing metallic artifacts in the postoperative ankles with metallic hardware.

Authors:  Jung Bin Lee; Jang Gyu Cha; Min Hee Lee; Young Koo Lee; Eun Hye Lee; Chan Hong Jeon
Journal:  Skeletal Radiol       Date:  2012-06-06       Impact factor: 2.199

5.  Metal artefact reduction in gemstone spectral imaging dual-energy CT with and without metal artefact reduction software.

Authors:  Young Han Lee; Kwan Kyu Park; Ho-Taek Song; Sungjun Kim; Jin-Suck Suh
Journal:  Eur Radiol       Date:  2012-02-04       Impact factor: 5.315

Review 6.  An illustrative review to understand and manage metal-induced artifacts in musculoskeletal MRI: a primer and updates.

Authors:  J P Dillenseger; S Molière; P Choquet; C Goetz; M Ehlinger; G Bierry
Journal:  Skeletal Radiol       Date:  2016-02-02       Impact factor: 2.199

7.  [F-18]2-fluoro-2-deoxyglucose (FDG) positron emission tomography after limb salvage surgery: post-surgical appearance, attenuation correction and local complications.

Authors:  Michael J Gelfand; Susan E Sharp
Journal:  Pediatr Radiol       Date:  2015-02-27

8.  Improved Image Quality in Head and Neck CT Using a 3D Iterative Approach to Reduce Metal Artifact.

Authors:  W Wuest; M S May; M Brand; N Bayerl; A Krauss; M Uder; M Lell
Journal:  AJNR Am J Neuroradiol       Date:  2015-08-13       Impact factor: 3.825

9.  Metal artifacts in patients with large dental implants and bridges: combination of metal artifact reduction algorithms and virtual monoenergetic images provides an approach to handle even strongest artifacts.

Authors:  Kai Roman Laukamp; David Zopfs; Simon Lennartz; Lenhard Pennig; David Maintz; Jan Borggrefe; Nils Große Hokamp
Journal:  Eur Radiol       Date:  2019-01-16       Impact factor: 5.315

10.  Metal artifact reduction image reconstruction algorithm for CT of implanted metal orthopedic devices: a work in progress.

Authors:  Patrick T Liu; William P Pavlicek; Mary B Peter; Mark J Spangehl; Catherine C Roberts; Robert G Paden
Journal:  Skeletal Radiol       Date:  2009-01-14       Impact factor: 2.199

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