Literature DB >> 26272971

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

W Wuest1, M S May2, M Brand2, N Bayerl2, A Krauss3, M Uder2, M Lell2.   

Abstract

BACKGROUND AND
PURPOSE: Metal artifacts from dental fillings and other devices degrade image quality and may compromise the detection and evaluation of lesions in the oral cavity and oropharynx by CT. The aim of this study was to evaluate the effect of iterative metal artifact reduction on CT of the oral cavity and oropharynx.
MATERIALS AND METHODS: Data from 50 consecutive patients with metal artifacts from dental hardware were reconstructed with standard filtered back-projection, linear interpolation metal artifact reduction (LIMAR), and iterative metal artifact reduction. The image quality of sections that contained metal was analyzed for the severity of artifacts and diagnostic value.
RESULTS: A total of 455 sections (mean ± standard deviation, 9.1 ± 4.1 sections per patient) contained metal and were evaluated with each reconstruction method. Sections without metal were not affected by the algorithms and demonstrated image quality identical to each other. Of these sections, 38% were considered nondiagnostic with filtered back-projection, 31% with LIMAR, and only 7% with iterative metal artifact reduction. Thirty-three percent of the sections had poor image quality with filtered back-projection, 46% with LIMAR, and 10% with iterative metal artifact reduction. Thirteen percent of the sections with filtered back-projection, 17% with LIMAR, and 22% with iterative metal artifact reduction were of moderate image quality, 16% of the sections with filtered back-projection, 5% with LIMAR, and 30% with iterative metal artifact reduction were of good image quality, and 1% of the sections with LIMAR and 31% with iterative metal artifact reduction were of excellent image quality.
CONCLUSIONS: Iterative metal artifact reduction yields the highest image quality in comparison with filtered back-projection and linear interpolation metal artifact reduction in patients with metal hardware in the head and neck area.
© 2015 by American Journal of Neuroradiology.

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Year:  2015        PMID: 26272971      PMCID: PMC7965035          DOI: 10.3174/ajnr.A4386

Source DB:  PubMed          Journal:  AJNR Am J Neuroradiol        ISSN: 0195-6108            Impact factor:   3.825


  20 in total

1.  An iterative maximum-likelihood polychromatic algorithm for CT.

Authors:  B De Man; J Nuyts; P Dupont; G Marchal; P Suetens
Journal:  IEEE Trans Med Imaging       Date:  2001-10       Impact factor: 10.048

2.  Frequency split metal artifact reduction (FSMAR) in computed tomography.

Authors:  Esther Meyer; Rainer Raupach; Michael Lell; Bernhard Schmidt; Marc Kachelrieß
Journal:  Med Phys       Date:  2012-04       Impact factor: 4.071

3.  Statistical image reconstruction for inconsistent CT projection data.

Authors:  Thorsten Buzug; May Oehler
Journal:  Methods Inf Med       Date:  2007       Impact factor: 2.176

4.  Penalized-likelihood reconstruction for metal artifact reduction in cone-beam CT.

Authors:  Sorapong Aootaphao; Chuchart Pintavirooj; Saowapak Sotthivirat
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2008

5.  Frequency split metal artefact reduction in pelvic computed tomography.

Authors:  M M Lell; E Meyer; M Schmid; R Raupach; M S May; M Uder; M Kachelriess
Journal:  Eur Radiol       Date:  2013-03-22       Impact factor: 5.315

6.  An algorithm for the reduction of metal clip artifacts in CT reconstructions.

Authors:  G H Glover; N J Pelc
Journal:  Med Phys       Date:  1981 Nov-Dec       Impact factor: 4.071

7.  Artifacts in CT: recognition and avoidance.

Authors:  Julia F Barrett; Nicholas Keat
Journal:  Radiographics       Date:  2004 Nov-Dec       Impact factor: 5.333

8.  Monoenergetic imaging of dual-energy CT reduces artifacts from implanted metal orthopedic devices in patients with factures.

Authors:  Changsheng Zhou; Yan E Zhao; Song Luo; Hongyuan Shi; Lin Li; Ling Zheng; Long Jiang Zhang; Guangming Lu
Journal:  Acad Radiol       Date:  2011-10       Impact factor: 3.173

9.  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

10.  The reduction of artifacts due to metal hip implants in CT-attenuation corrected PET images from hybrid PET/CT scanners.

Authors:  John A Kennedy; Ora Israel; Alex Frenkel; Rachel Bar-Shalom; Haim Azhari
Journal:  Med Biol Eng Comput       Date:  2007-05-23       Impact factor: 3.079

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  14 in total

1.  Low-Dose CT of the Paranasal Sinuses: Minimizing X-Ray Exposure with Spectral Shaping.

Authors:  Wolfgang Wuest; Matthias May; Marc Saake; Michael Brand; Michael Uder; Michael Lell
Journal:  Eur Radiol       Date:  2016-02-24       Impact factor: 5.315

2.  Follow-up CT and CT angiography after intracranial aneurysm clipping and coiling-improved image quality by iterative metal artifact reduction.

Authors:  Georg Bier; Malte Niklas Bongers; Johann-Martin Hempel; Anja Örgel; Till-Karsten Hauser; Ulrike Ernemann; Florian Hennersdorf
Journal:  Neuroradiology       Date:  2017-06-03       Impact factor: 2.804

3.  Iterative Algorithms Applied to Treated Intracranial Aneurysms.

Authors:  Aikaterini Fitsiori; Steve Philippe Martin; Alix Juillet De Saint Lager; Joanna Gariani; Karl-Olof Lovblad; Xavier Montet; Maria Isabel Vargas
Journal:  Clin Neuroradiol       Date:  2018-06-19       Impact factor: 3.649

4.  Radiation dose and image quality in intraoperative CT (iCT) angiography of the brain with stereotactic head frames.

Authors:  Robert Forbrig; Lucas L Geyer; Robert Stahl; Jun Thorsteinsdottir; Christian Schichor; Friedrich-Wilhelm Kreth; Maximilian Patzig; Moriz Herzberg; Thomas Liebig; Franziska Dorn; Christoph G Trumm
Journal:  Eur Radiol       Date:  2019-01-11       Impact factor: 5.315

5.  Iterative metal artefact reduction (MAR) in postsurgical chest CT: comparison of three iMAR-algorithms.

Authors:  Joel Aissa; Johannes Boos; Lino Morris Sawicki; Niklas Heinzler; Karl Krzymyk; Martin Sedlmair; Patric Kröpil; Gerald Antoch; Christoph Thomas
Journal:  Br J Radiol       Date:  2017-08-22       Impact factor: 3.039

6.  Clinical evaluation of the iterative metal artefact reduction algorithm for post-operative CT examination after maxillofacial surgery.

Authors:  Arsany Hakim; Johannes Slotboom; Olivier Lieger; Fabian Schlittler; Roland Giger; Chantal Michel; Roland Wiest; Franca Wagner
Journal:  Dentomaxillofac Radiol       Date:  2017-03-07       Impact factor: 2.419

Review 7.  What scans we will read: imaging instrumentation trends in clinical oncology.

Authors:  Thomas Beyer; Luc Bidaut; John Dickson; Marc Kachelriess; Fabian Kiessling; Rainer Leitgeb; Jingfei Ma; Lalith Kumar Shiyam Sundar; Benjamin Theek; Osama Mawlawi
Journal:  Cancer Imaging       Date:  2020-06-09       Impact factor: 3.909

8.  Comparison of dual- and single-source dual-energy CT in head and neck imaging.

Authors:  Matthias Stefan May; Marco Wiesmueller; Rafael Heiss; Michael Brand; Joscha Bruegel; Michael Uder; Wolfgang Wuest
Journal:  Eur Radiol       Date:  2018-10-18       Impact factor: 5.315

9.  CT Dental Artifact: Comparison of an Iterative Metal Artifact Reduction Technique with Weighted Filtered Back-Projection.

Authors:  Felix E Diehn; Gregory J Michalak; David R DeLone; Amy L Kotsenas; E Paul Lindell; Norbert G Campeau; Ahmed F Halaweish; Cynthia H McCollough; Joel G Fletcher
Journal:  Acta Radiol Open       Date:  2017-11-26

10.  Iterative metal artifact reduction in aortic CTA after Onyx®-embolization.

Authors:  Leena Lehti; Marcus Söderberg; Helena Mellander; Johan Wassélius
Journal:  Eur J Radiol Open       Date:  2020-09-04
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