Literature DB >> 22320823

Metal artifact reduction for CT: development, implementation, and clinical comparison of a generic and a scanner-specific technique.

Raoul M S Joemai1, Paul W de Bruin, Wouter J H Veldkamp, Jacob Geleijns.   

Abstract

PURPOSE: To develop, implement, and compare two metal artifact reduction methods for CT.
METHODS: Two methods for metal artifact reduction were developed. The first is based on applying corrections in a Radon transformation of the CT images. The second method is based on a forward projection of the CT images and applying corrections in the scanner's original raw data. The first method is generic since it does not depend on the scanner specifications. For the second method, detailed information on the design of the CT scanner and the raw data of the study is required. Clinical implementation and evaluation were performed using pre- and post-operative CT scans of four patients with shoulder prosthesis. For comparison of these methods, the authors developed a quantitative technique that compares improvement in image quality for the two metal artifact reduction techniques with the image quality of the uncorrected images.
RESULTS: Metal artifact reduction using either of the two methods yields a decrease of noise and artifacts in CT scans of patients with shoulder prostheses. Artifacts that appeared as bright and dark streaks were reduced or eliminated and as a result image quality improved. Quantitative assessment of clinical images showed improved image quality for both techniques of metal artifact reduction, but the method based on correction in original raw data performed better in all comparisons.
CONCLUSION: Both methods are effective for metal artifact reduction, but better performance was observed for the method that is based on correcting the original raw data. The used evaluation technique provides an objective way of evaluating the metal artifacts in clinical CT images.

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Year:  2012        PMID: 22320823     DOI: 10.1118/1.3679863

Source DB:  PubMed          Journal:  Med Phys        ISSN: 0094-2405            Impact factor:   4.071


  11 in total

1.  Clinical evaluation of a commercial orthopedic metal artifact reduction tool for CT simulations in radiation therapy.

Authors:  Hua Li; Camille Noel; Haijian Chen; H Harold Li; Daniel Low; Kevin Moore; Paul Klahr; Jeff Michalski; Hiram A Gay; Wade Thorstad; Sasa Mutic
Journal:  Med Phys       Date:  2012-12       Impact factor: 4.071

2.  PET/MR imaging of the pelvis in the presence of endoprostheses: reducing image artifacts and increasing accuracy through inpainting.

Authors:  Claes Nøhr Ladefoged; Flemming Littrup Andersen; Sune Høgild Keller; Johan Löfgren; Adam Espe Hansen; Søren Holm; Liselotte Højgaard; Thomas Beyer
Journal:  Eur J Nucl Med Mol Imaging       Date:  2013-01-08       Impact factor: 9.236

3.  Complementary contrast media for metal artifact reduction in dual-energy computed tomography.

Authors:  Jack W Lambert; Peter M Edic; Paul F FitzGerald; Andrew S Torres; Benjamin M Yeh
Journal:  J Med Imaging (Bellingham)       Date:  2015-09-21

4.  Preoperative planning using computed tomography in tibial plateau levelling osteotomy: A comparison with conventional radiography.

Authors:  Jayon Kim; Jaeeun Ko; Kidong Eom; Jaehwan Kim
Journal:  Vet Med Sci       Date:  2022-01-06

5.  Quantitative comparison of commercial and non-commercial metal artifact reduction techniques in computed tomography.

Authors:  Dirk Wagenaar; Emiel R van der Graaf; Arjen van der Schaaf; Marcel J W Greuter
Journal:  PLoS One       Date:  2015-06-01       Impact factor: 3.240

6.  Metal artifact reduction through MVCBCT and kVCT in radiotherapy.

Authors:  Gao Liugang; Sun Hongfei; Ni Xinye; Fang Mingming; Cao Zheng; Lin Tao
Journal:  Sci Rep       Date:  2016-11-21       Impact factor: 4.379

7.  Dosimetric impact of orthopedic metal artifact reduction (O-MAR) on Spine SBRT patients.

Authors:  Zhilei Liu Shen; Ping Xia; Paul Klahr; Toufik Djemil
Journal:  J Appl Clin Med Phys       Date:  2015-09-08       Impact factor: 2.102

8.  Efficiency of Iterative Metal Artifact Reduction Algorithm (iMAR) Applied to Brain Volume Perfusion CT in the Follow-up of Patients after Coiling or Clipping of Ruptured Brain Aneurysms.

Authors:  Arsany Hakim; Manuela Pastore-Wapp; Sonja Vulcu; Tomas Dobrocky; Werner J Z'Graggen; Franca Wagner
Journal:  Sci Rep       Date:  2019-12-19       Impact factor: 4.379

9.  Automatic recognition and analysis of metal streak artifacts in head and neck computed tomography for radiomics modeling.

Authors:  Lise Wei; Benjamin Rosen; Martin Vallières; Thong Chotchutipan; Michelle Mierzwa; Avraham Eisbruch; Issam El Naqa
Journal:  Phys Imaging Radiat Oncol       Date:  2019-06-06

10.  Projection-domain iteration to estimate unreliable measurements.

Authors:  Gengsheng L Zeng
Journal:  Vis Comput Ind Biomed Art       Date:  2020-07-21
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