Common computed tomography artifact: source and avoidance

Abstract Background Artifacts have significantly degraded the quality of computed tomography (CT) images, to the extent of making them unusable for diagnosis. The types of artifact that could be used are as follows: (a) streaking, which is commonly due to a discrepancy in a single measurement, (b) s...

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Main Authors: Amel F. Alzain, Nagwan Elhussein, Ibtisam Abdallah Fadulelmulla, Amna Mohamed Ahmed, M. E. Elbashir, Badria Awad Elamin
Format: Article
Language:English
Published: SpringerOpen 2021-06-01
Series:The Egyptian Journal of Radiology and Nuclear Medicine
Subjects:
Online Access:https://doi.org/10.1186/s43055-021-00530-0
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author Amel F. Alzain
Nagwan Elhussein
Ibtisam Abdallah Fadulelmulla
Amna Mohamed Ahmed
M. E. Elbashir
Badria Awad Elamin
author_facet Amel F. Alzain
Nagwan Elhussein
Ibtisam Abdallah Fadulelmulla
Amna Mohamed Ahmed
M. E. Elbashir
Badria Awad Elamin
author_sort Amel F. Alzain
collection DOAJ
description Abstract Background Artifacts have significantly degraded the quality of computed tomography (CT) images, to the extent of making them unusable for diagnosis. The types of artifact that could be used are as follows: (a) streaking, which is commonly due to a discrepancy in a single measurement, (b) shading, which is due to a group of channels deviating gradually from the true measurement, (c) rings, which are due to errors in individual detector calibration and (d) distortion, which is due to helical reconstruction. It is occasionally possible to avoid scanning of a bony area, by means of changing the postion of the patient. Thus, this study aimed to evaluate the common artifacts that affect image quality and the method of correction to improve image quality. Results The data were collected by distributing a questionnaire to the CT technologist at different hospitals about the most common type of artifacts in the CT images, source of artifacts and methods of correction. A total of 95 CT technologists responded to the questionnaire, which included 67% males and 33% females. Most of the participants (70%) were experienced CT technologists, and 61% of the participants had not done any subspecialty CT scan courses. The most common artifact used in the CT departments was motion artifact in brain CT (73%), and the best method to reduce motion artifact was patient preparation (87%). Conclusions The most common shown artifact in this study was motion artifact, and the common cause was the patient-based artifact. It is important to understand why objects occur and how they could be prevented or suppressed to improve image quality.
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spelling doaj.art-e4137c85d19f4124b20ba889792850f52022-12-21T19:58:55ZengSpringerOpenThe Egyptian Journal of Radiology and Nuclear Medicine2090-47622021-06-015211610.1186/s43055-021-00530-0Common computed tomography artifact: source and avoidanceAmel F. Alzain0Nagwan Elhussein1Ibtisam Abdallah Fadulelmulla2Amna Mohamed Ahmed3M. E. Elbashir4Badria Awad Elamin5Radiological Science Department, College of Applied Medical Science, Taibah UniversityDiagnostic Radiology Department, College of Applied Medical Science, University of HailDiagnostic Radiology Department, College of Applied Medical Science, University of HailRadiological Science Department, Alghad International College for Applied Medical ScienceRadiological Science Department, College of Applied Medical Science, Taif UniversityDiagnostic Radiology Department, College of Applied Medical Science, University of HailAbstract Background Artifacts have significantly degraded the quality of computed tomography (CT) images, to the extent of making them unusable for diagnosis. The types of artifact that could be used are as follows: (a) streaking, which is commonly due to a discrepancy in a single measurement, (b) shading, which is due to a group of channels deviating gradually from the true measurement, (c) rings, which are due to errors in individual detector calibration and (d) distortion, which is due to helical reconstruction. It is occasionally possible to avoid scanning of a bony area, by means of changing the postion of the patient. Thus, this study aimed to evaluate the common artifacts that affect image quality and the method of correction to improve image quality. Results The data were collected by distributing a questionnaire to the CT technologist at different hospitals about the most common type of artifacts in the CT images, source of artifacts and methods of correction. A total of 95 CT technologists responded to the questionnaire, which included 67% males and 33% females. Most of the participants (70%) were experienced CT technologists, and 61% of the participants had not done any subspecialty CT scan courses. The most common artifact used in the CT departments was motion artifact in brain CT (73%), and the best method to reduce motion artifact was patient preparation (87%). Conclusions The most common shown artifact in this study was motion artifact, and the common cause was the patient-based artifact. It is important to understand why objects occur and how they could be prevented or suppressed to improve image quality.https://doi.org/10.1186/s43055-021-00530-0Computed tomographyArtifactsImage qualityArtifact sourceArtifact reduction
spellingShingle Amel F. Alzain
Nagwan Elhussein
Ibtisam Abdallah Fadulelmulla
Amna Mohamed Ahmed
M. E. Elbashir
Badria Awad Elamin
Common computed tomography artifact: source and avoidance
The Egyptian Journal of Radiology and Nuclear Medicine
Computed tomography
Artifacts
Image quality
Artifact source
Artifact reduction
title Common computed tomography artifact: source and avoidance
title_full Common computed tomography artifact: source and avoidance
title_fullStr Common computed tomography artifact: source and avoidance
title_full_unstemmed Common computed tomography artifact: source and avoidance
title_short Common computed tomography artifact: source and avoidance
title_sort common computed tomography artifact source and avoidance
topic Computed tomography
Artifacts
Image quality
Artifact source
Artifact reduction
url https://doi.org/10.1186/s43055-021-00530-0
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AT ibtisamabdallahfadulelmulla commoncomputedtomographyartifactsourceandavoidance
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