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Metal artefact correction algorithm based-on DSAT technique for CT images

This paper presents a correction algorithm for metal artefacts in CT images using a novel technique known as dual-step adaptive thresholding (DSAT). The proposed artefact correction algorithm was applied to selected artefactual phantom and clinical CT images. The missing projection data due to metal...

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Main Authors: Osman, Noor Diyana, Salikin, Md Saion, Saripan, M. Iqbal, Abdul Aziz, Mohd Zahri, Mohd Daud, Norfataha
Format: Conference or Workshop Item
Language:English
Published: IEEE 2014
Online Access:http://psasir.upm.edu.my/id/eprint/55980/1/Metal%20artefact%20correction%20algorithm%20based-on%20DSAT%20technique%20for%20CT%20images.pdf
http://psasir.upm.edu.my/id/eprint/55980/
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spelling my.upm.eprints.559802017-07-03T09:25:37Z http://psasir.upm.edu.my/id/eprint/55980/ Metal artefact correction algorithm based-on DSAT technique for CT images Osman, Noor Diyana Salikin, Md Saion Saripan, M. Iqbal Abdul Aziz, Mohd Zahri Mohd Daud, Norfataha This paper presents a correction algorithm for metal artefacts in CT images using a novel technique known as dual-step adaptive thresholding (DSAT). The proposed artefact correction algorithm was applied to selected artefactual phantom and clinical CT images. The missing projection data due to metal is detected and extracted by double-thresholding technique. The DSAT-based algorithm allows significant reduction of the artefact and preserves most of the anatomical structures in the corrected CT images. IEEE 2014 Conference or Workshop Item PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/55980/1/Metal%20artefact%20correction%20algorithm%20based-on%20DSAT%20technique%20for%20CT%20images.pdf Osman, Noor Diyana and Salikin, Md Saion and Saripan, M. Iqbal and Abdul Aziz, Mohd Zahri and Mohd Daud, Norfataha (2014) Metal artefact correction algorithm based-on DSAT technique for CT images. In: 2014 IEEE Conference on Biomedical Engineering and Sciences (IECBES 2014), 8-10 Dec. 2014, Miri, Sarawak, Malaysia. (pp. 324-327). 10.1109/IECBES.2014.7047513
institution Universiti Putra Malaysia
building UPM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Putra Malaysia
content_source UPM Institutional Repository
url_provider http://psasir.upm.edu.my/
language English
description This paper presents a correction algorithm for metal artefacts in CT images using a novel technique known as dual-step adaptive thresholding (DSAT). The proposed artefact correction algorithm was applied to selected artefactual phantom and clinical CT images. The missing projection data due to metal is detected and extracted by double-thresholding technique. The DSAT-based algorithm allows significant reduction of the artefact and preserves most of the anatomical structures in the corrected CT images.
format Conference or Workshop Item
author Osman, Noor Diyana
Salikin, Md Saion
Saripan, M. Iqbal
Abdul Aziz, Mohd Zahri
Mohd Daud, Norfataha
spellingShingle Osman, Noor Diyana
Salikin, Md Saion
Saripan, M. Iqbal
Abdul Aziz, Mohd Zahri
Mohd Daud, Norfataha
Metal artefact correction algorithm based-on DSAT technique for CT images
author_facet Osman, Noor Diyana
Salikin, Md Saion
Saripan, M. Iqbal
Abdul Aziz, Mohd Zahri
Mohd Daud, Norfataha
author_sort Osman, Noor Diyana
title Metal artefact correction algorithm based-on DSAT technique for CT images
title_short Metal artefact correction algorithm based-on DSAT technique for CT images
title_full Metal artefact correction algorithm based-on DSAT technique for CT images
title_fullStr Metal artefact correction algorithm based-on DSAT technique for CT images
title_full_unstemmed Metal artefact correction algorithm based-on DSAT technique for CT images
title_sort metal artefact correction algorithm based-on dsat technique for ct images
publisher IEEE
publishDate 2014
url http://psasir.upm.edu.my/id/eprint/55980/1/Metal%20artefact%20correction%20algorithm%20based-on%20DSAT%20technique%20for%20CT%20images.pdf
http://psasir.upm.edu.my/id/eprint/55980/
_version_ 1643836055409917952
score 13.160551

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