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Metal artefact reduction for accurate tumour delineation in radiotherapy
BACKGROUND AND PURPOSE: Two techniques for metal artefact reduction for computed tomography were studied in order to identify their impact on tumour delineation in radiotherapy. MATERIALS AND METHODS: Using specially designed phantoms containing metal implants (dental, spine and hip) as well as pati...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier Scientific Publishers
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5864514/ https://www.ncbi.nlm.nih.gov/pubmed/29050958 http://dx.doi.org/10.1016/j.radonc.2017.09.029 |
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author | Kovacs, David Gergely Rechner, Laura A. Appelt, Ane L. Berthelsen, Anne K. Costa, Junia C. Friborg, Jeppe Persson, Gitte F. Bangsgaard, Jens Peter Specht, Lena Aznar, Marianne C. |
author_facet | Kovacs, David Gergely Rechner, Laura A. Appelt, Ane L. Berthelsen, Anne K. Costa, Junia C. Friborg, Jeppe Persson, Gitte F. Bangsgaard, Jens Peter Specht, Lena Aznar, Marianne C. |
author_sort | Kovacs, David Gergely |
collection | PubMed |
description | BACKGROUND AND PURPOSE: Two techniques for metal artefact reduction for computed tomography were studied in order to identify their impact on tumour delineation in radiotherapy. MATERIALS AND METHODS: Using specially designed phantoms containing metal implants (dental, spine and hip) as well as patient images, we investigated the impact of two methods for metal artefact reduction on (A) the size and severity of metal artefacts and the accuracy of Hounsfield Unit (HU) representation, (B) the visual impact of metal artefacts on image quality and (C) delineation accuracy. A metal artefact reduction algorithm (MAR) and two types of dual energy virtual monochromatic (DECT VM) reconstructions were used separately and in combination to identify the optimal technique for each implant site. RESULTS: The artefact area and severity was reduced (by 48–76% and 58–79%, MAR and DECT VM respectively) and accurate Hounsfield-value representation was increased by 22–82%. For each energy, the observers preferred MAR over non-MAR reconstructions (p < 0.01 for dental and hip cases, p < 0.05 for the spine case). In addition, DECT VM was preferred for spine implants (p < 0.01). In all cases, techniques that improved target delineation significantly (p < 0.05) were identified. CONCLUSIONS: DECT VM and MAR techniques improve delineation accuracy and the optimal of reconstruction technique depends on the type of metal implant. |
format | Online Article Text |
id | pubmed-5864514 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Elsevier Scientific Publishers |
record_format | MEDLINE/PubMed |
spelling | pubmed-58645142018-03-23 Metal artefact reduction for accurate tumour delineation in radiotherapy Kovacs, David Gergely Rechner, Laura A. Appelt, Ane L. Berthelsen, Anne K. Costa, Junia C. Friborg, Jeppe Persson, Gitte F. Bangsgaard, Jens Peter Specht, Lena Aznar, Marianne C. Radiother Oncol Article BACKGROUND AND PURPOSE: Two techniques for metal artefact reduction for computed tomography were studied in order to identify their impact on tumour delineation in radiotherapy. MATERIALS AND METHODS: Using specially designed phantoms containing metal implants (dental, spine and hip) as well as patient images, we investigated the impact of two methods for metal artefact reduction on (A) the size and severity of metal artefacts and the accuracy of Hounsfield Unit (HU) representation, (B) the visual impact of metal artefacts on image quality and (C) delineation accuracy. A metal artefact reduction algorithm (MAR) and two types of dual energy virtual monochromatic (DECT VM) reconstructions were used separately and in combination to identify the optimal technique for each implant site. RESULTS: The artefact area and severity was reduced (by 48–76% and 58–79%, MAR and DECT VM respectively) and accurate Hounsfield-value representation was increased by 22–82%. For each energy, the observers preferred MAR over non-MAR reconstructions (p < 0.01 for dental and hip cases, p < 0.05 for the spine case). In addition, DECT VM was preferred for spine implants (p < 0.01). In all cases, techniques that improved target delineation significantly (p < 0.05) were identified. CONCLUSIONS: DECT VM and MAR techniques improve delineation accuracy and the optimal of reconstruction technique depends on the type of metal implant. Elsevier Scientific Publishers 2018-03 /pmc/articles/PMC5864514/ /pubmed/29050958 http://dx.doi.org/10.1016/j.radonc.2017.09.029 Text en © 2017 The Authors http://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 Kovacs, David Gergely Rechner, Laura A. Appelt, Ane L. Berthelsen, Anne K. Costa, Junia C. Friborg, Jeppe Persson, Gitte F. Bangsgaard, Jens Peter Specht, Lena Aznar, Marianne C. Metal artefact reduction for accurate tumour delineation in radiotherapy |
title | Metal artefact reduction for accurate tumour delineation in radiotherapy |
title_full | Metal artefact reduction for accurate tumour delineation in radiotherapy |
title_fullStr | Metal artefact reduction for accurate tumour delineation in radiotherapy |
title_full_unstemmed | Metal artefact reduction for accurate tumour delineation in radiotherapy |
title_short | Metal artefact reduction for accurate tumour delineation in radiotherapy |
title_sort | metal artefact reduction for accurate tumour delineation in radiotherapy |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5864514/ https://www.ncbi.nlm.nih.gov/pubmed/29050958 http://dx.doi.org/10.1016/j.radonc.2017.09.029 |
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