Comparison of quantitative measurements of four manufacturer’s metal artifact reduction techniques for CT imaging with a self-made acrylic phantom-Reference-Cited by-同舟云学术

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Comparison of quantitative measurements of four manufacturer’s metal artifact reduction techniques for CT imaging with a self-made acrylic phantom

Published:2020-06-04 Issue: Volume:28 Page:273-287
ISSN:0928-7329
Container-title:Technology and Health Care
language:
Short-container-title:THC

Author:

Chou Ryan¹,Chi Hung-Yi²,Lin Yi-Hung³,Ying Liu-Kuo⁴,Chao Yu-Ju⁵,Lin Cheng-Hsun¹

Affiliation:

1. Department of Medical Imaging and Radiological Sciences, Central Taiwan University of Science and Technology, Taichung, Taiwan

2. Department of Radiology, Kaohsiung Veterans General Hospital, Kaohsiung, Taiwan

3. Department of Radiology, Taichung Veterans General Hospital, Taichung, Taiwan

4. Department of Radiology, E-DA Cancer Hospital, Kaohsiung, Taiwan

5. Department of Medical Imaging, Cheng Hsin General Hospital, Taipei, Taiwan

Publisher

IOS Press

Subject

Health Informatics,Biomedical Engineering,Information Systems,Biomaterials,Bioengineering,Biophysics

Reference26 articles.

1. Metal streak artifacts in X-ray computed tomography: A simulation study;Man;IEEE Transactions on Nuclear Science,1999

2. Evaluation of CT techniques for reducing artifacts in the presence of metallic orthopedic implants;Robertson;Journal of Computer Assisted Tomography,1988

3. Quantitative analysis of metallic artifacts caused by dental metallic restorations: Comparison between four CBCT scanners;Omar;Future Dental Journal,2016

4. Effect of metal artifact reduction software on image quality of C-arm cone-beam computed tomography during intracranial aneurysm treatment;Enomoto;Interventional Neuroradiology,2018

5. Metal artifact reduction in CT: Where are we after four decades;Gjesteby;IEEE Access,2016

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2. Improving the quality of computed tomography brain images in the presence of cochlear implant induced metal artefacts through the additional use of tissue mimicking materials alongside metal artefact reduction software;Radiography;2024-05

3. Potential of Metal Artifact Reduction (MAR) and Deep Learning-based Reconstruction (DLR) algorithms integration in CT Metal Artifact Correction: A review;Radiation Physics and Chemistry;2024-05

4. Phantom study for CT artifacts of dental titanium implants and zirconia upper structures: the effects of occlusal plane angle setting and SEMAR algorithm;Oral Radiology;2023-12-26

5. Synthetic Megavoltage Cone Beam Computed Tomography Image Generation for Improved Contouring Accuracy of Cardiac Pacemakers;Journal of Imaging;2023-11-08

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