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Metal artifact reduction by virtual monoenergetic reconstructions from spectral brain CT
PURPOSE: Conventional computed tomography (CT) images are severely affected by metal artifacts in patients with intracranial coils. Monoenergetic images have been suggested to reduce metal artifacts. The aim of this study was to assess metal artifacts in virtual monoenergetic images (VMIs) reconstru...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9932346/ https://www.ncbi.nlm.nih.gov/pubmed/36819113 http://dx.doi.org/10.1016/j.ejro.2023.100479 |
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author | Mellander, Helena Fransson, Veronica Ydström, Kristina Lätt, Jimmy Ullberg, Teresa Wassélius, Johan Ramgren, Birgitta |
author_facet | Mellander, Helena Fransson, Veronica Ydström, Kristina Lätt, Jimmy Ullberg, Teresa Wassélius, Johan Ramgren, Birgitta |
author_sort | Mellander, Helena |
collection | PubMed |
description | PURPOSE: Conventional computed tomography (CT) images are severely affected by metal artifacts in patients with intracranial coils. Monoenergetic images have been suggested to reduce metal artifacts. The aim of this study was to assess metal artifacts in virtual monoenergetic images (VMIs) reconstructed from spectral brain CT. METHODS: Thirty-two consecutive patients with intracranial coils examined by spectral non contrast brain CT (NCCT) at our center between November 2017 and April 2019 were included. Attenuation and standard deviations were measured in regions of interest (ROIs) at predefined areas in artifact-free and artifact-affected areas. Measurements were performed in conventional polyenergetic images (CIs) and the corresponding data for VMIs were retrieved through spectral diagrams for the each ROI. Subjective analysis was performed by visual grading of CIs and specific VMIs by two neuroradiologists, independently. RESULTS: In artefact-affected image areas distal from the metal objects, the attenuation values decreased with higher energy level VMIs. The same effect was not seen for artefact-affected image areas close to the metal. Subjective rating of the artefact severity was significantly better in VMIs at 50 keV for one of the two reviewers compared to the CIs. Overall image quality and tissue differentiation scores were significantly higher for both reviewers in VMIs at 60 and 70 keV compared to CIs. CONCLUSION: Our quantitative and qualitative image analysis shown that there is a small significant reduction of intracranial coils artifacts severity by all monoenergetic reconstructions from 50 to 200 keV with preserved or increased overall subjective image quality compared to conventional images. |
format | Online Article Text |
id | pubmed-9932346 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-99323462023-02-17 Metal artifact reduction by virtual monoenergetic reconstructions from spectral brain CT Mellander, Helena Fransson, Veronica Ydström, Kristina Lätt, Jimmy Ullberg, Teresa Wassélius, Johan Ramgren, Birgitta Eur J Radiol Open Article PURPOSE: Conventional computed tomography (CT) images are severely affected by metal artifacts in patients with intracranial coils. Monoenergetic images have been suggested to reduce metal artifacts. The aim of this study was to assess metal artifacts in virtual monoenergetic images (VMIs) reconstructed from spectral brain CT. METHODS: Thirty-two consecutive patients with intracranial coils examined by spectral non contrast brain CT (NCCT) at our center between November 2017 and April 2019 were included. Attenuation and standard deviations were measured in regions of interest (ROIs) at predefined areas in artifact-free and artifact-affected areas. Measurements were performed in conventional polyenergetic images (CIs) and the corresponding data for VMIs were retrieved through spectral diagrams for the each ROI. Subjective analysis was performed by visual grading of CIs and specific VMIs by two neuroradiologists, independently. RESULTS: In artefact-affected image areas distal from the metal objects, the attenuation values decreased with higher energy level VMIs. The same effect was not seen for artefact-affected image areas close to the metal. Subjective rating of the artefact severity was significantly better in VMIs at 50 keV for one of the two reviewers compared to the CIs. Overall image quality and tissue differentiation scores were significantly higher for both reviewers in VMIs at 60 and 70 keV compared to CIs. CONCLUSION: Our quantitative and qualitative image analysis shown that there is a small significant reduction of intracranial coils artifacts severity by all monoenergetic reconstructions from 50 to 200 keV with preserved or increased overall subjective image quality compared to conventional images. Elsevier 2023-02-03 /pmc/articles/PMC9932346/ /pubmed/36819113 http://dx.doi.org/10.1016/j.ejro.2023.100479 Text en © 2023 The Authors https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Mellander, Helena Fransson, Veronica Ydström, Kristina Lätt, Jimmy Ullberg, Teresa Wassélius, Johan Ramgren, Birgitta Metal artifact reduction by virtual monoenergetic reconstructions from spectral brain CT |
title | Metal artifact reduction by virtual monoenergetic reconstructions from spectral brain CT |
title_full | Metal artifact reduction by virtual monoenergetic reconstructions from spectral brain CT |
title_fullStr | Metal artifact reduction by virtual monoenergetic reconstructions from spectral brain CT |
title_full_unstemmed | Metal artifact reduction by virtual monoenergetic reconstructions from spectral brain CT |
title_short | Metal artifact reduction by virtual monoenergetic reconstructions from spectral brain CT |
title_sort | metal artifact reduction by virtual monoenergetic reconstructions from spectral brain ct |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9932346/ https://www.ncbi.nlm.nih.gov/pubmed/36819113 http://dx.doi.org/10.1016/j.ejro.2023.100479 |
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