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Evaluation of metal artefact reduction using dual-step adaptive thresholding technique in computed tomography

Background: Metal objects present in CT images may give rise to streak artefact. In the presence of severe artefacts, image quality may be extensively degraded and important clinical findings and pathology in the vicinity of the metal objects may be obscured. The purpose of this study is to evalu...

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Main Author: Hassan, Mohd Norsyafi
Format: Thesis
Language:English
Published: 2018
Subjects:
R Medicine (General)
Online Access:http://eprints.usm.my/46511/1/Dr.%20Mohd%20Norsyafi%20Hassan-24%20pages.pdf
http://eprints.usm.my/46511/
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spelling my.usm.eprints.46511 http://eprints.usm.my/46511/ Evaluation of metal artefact reduction using dual-step adaptive thresholding technique in computed tomography Hassan, Mohd Norsyafi R Medicine (General) Background: Metal objects present in CT images may give rise to streak artefact. In the presence of severe artefacts, image quality may be extensively degraded and important clinical findings and pathology in the vicinity of the metal objects may be obscured. The purpose of this study is to evaluate the effectiveness of the dual-step adaptive thresholding technique as a method of metal artefact reduction in CT studies. Methodology: A total of 14 CT studies which contained metal-induced artefacts resulted from various surgical implants were retrieved from the Picture Archive Communication System (PACS). The CT images were corrected using the DSAT algorithm in MATLAB workspace to generate the artefact-corrected images with acceptable quality. Both groups of original images and artefact-corrected images were evaluated quantitatively using noise and SNR and qualitatively using visual evaluation by 2 evaluators. Level of significance was determined (p < 0.05). Results: A significant reduction of the noise were noticed in the corrected CT images following DSAT technique for metal artefact correction with the mean noise of 14.576 ± 11.7 as compared to the original images with mean of 40.177 ± 23.785 (p < 0.0005). A significant improvement of SNR was also demonstrated following DSAT correction with the mean SNR of 3.877 ± 3.931 for the corrected images in comparison to 3.614 ± 2.839 for the original images (p = 0.017). Visual evaluation has demonstrated reduced appearance of metal artefacts with increased conspicuity of adjacent structures (p < 0.05). Conclusion: Metal artefact correction using dual-step adaptive thresholding technique has the ability to suppress metal-induced artefacts with significant improvement of image quality. 2018 Thesis NonPeerReviewed application/pdf en http://eprints.usm.my/46511/1/Dr.%20Mohd%20Norsyafi%20Hassan-24%20pages.pdf Hassan, Mohd Norsyafi (2018) Evaluation of metal artefact reduction using dual-step adaptive thresholding technique in computed tomography. Masters thesis, Universiti Sains Malaysia.
institution Universiti Sains Malaysia
building Hamzah Sendut Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Sains Malaysia
content_source USM Institutional Repository
url_provider http://eprints.usm.my/
language English
topic R Medicine (General)
spellingShingle R Medicine (General)
Hassan, Mohd Norsyafi
Evaluation of metal artefact reduction using dual-step adaptive thresholding technique in computed tomography
description Background: Metal objects present in CT images may give rise to streak artefact. In the presence of severe artefacts, image quality may be extensively degraded and important clinical findings and pathology in the vicinity of the metal objects may be obscured. The purpose of this study is to evaluate the effectiveness of the dual-step adaptive thresholding technique as a method of metal artefact reduction in CT studies. Methodology: A total of 14 CT studies which contained metal-induced artefacts resulted from various surgical implants were retrieved from the Picture Archive Communication System (PACS). The CT images were corrected using the DSAT algorithm in MATLAB workspace to generate the artefact-corrected images with acceptable quality. Both groups of original images and artefact-corrected images were evaluated quantitatively using noise and SNR and qualitatively using visual evaluation by 2 evaluators. Level of significance was determined (p < 0.05). Results: A significant reduction of the noise were noticed in the corrected CT images following DSAT technique for metal artefact correction with the mean noise of 14.576 ± 11.7 as compared to the original images with mean of 40.177 ± 23.785 (p < 0.0005). A significant improvement of SNR was also demonstrated following DSAT correction with the mean SNR of 3.877 ± 3.931 for the corrected images in comparison to 3.614 ± 2.839 for the original images (p = 0.017). Visual evaluation has demonstrated reduced appearance of metal artefacts with increased conspicuity of adjacent structures (p < 0.05). Conclusion: Metal artefact correction using dual-step adaptive thresholding technique has the ability to suppress metal-induced artefacts with significant improvement of image quality.
format Thesis
author Hassan, Mohd Norsyafi
author_facet Hassan, Mohd Norsyafi
author_sort Hassan, Mohd Norsyafi
title Evaluation of metal artefact reduction using dual-step adaptive thresholding technique in computed tomography
title_short Evaluation of metal artefact reduction using dual-step adaptive thresholding technique in computed tomography
title_full Evaluation of metal artefact reduction using dual-step adaptive thresholding technique in computed tomography
title_fullStr Evaluation of metal artefact reduction using dual-step adaptive thresholding technique in computed tomography
title_full_unstemmed Evaluation of metal artefact reduction using dual-step adaptive thresholding technique in computed tomography
title_sort evaluation of metal artefact reduction using dual-step adaptive thresholding technique in computed tomography
publishDate 2018
url http://eprints.usm.my/46511/1/Dr.%20Mohd%20Norsyafi%20Hassan-24%20pages.pdf
http://eprints.usm.my/46511/
_version_ 1662755794222841856
score 13.211869

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