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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...

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Autores principales: 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.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Scientific Publishers 2018
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.
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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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