Dental artifacts in the head and neck region: implications for Dixon-based attenuation correction in PET/MR

Background In the absence of CT or traditional transmission sources in combined clinical positron emission tomography/magnetic resonance (PET/MR) systems, MR images are used for MR-based attenuation correction (MR-AC). The susceptibility effects due to metal implants challenge MR-AC in the neck region of patients with dental implants. The purpose of this study was to assess the frequency and magnitude of subsequent PET image distortions following MR-AC. Methods A total of 148 PET/MR patients with clear visual signal voids on the attenuation map in the dental region were included in this study. Patients were injected with [18F]-FDG, [11C]-PiB, [18F]-FET, or [64Cu]-DOTATATE. The PET/MR data were acquired over a single-bed position of 25.8 cm covering the head and neck. MR-AC was based on either standard MR-$ AC_{DIXON} $ or MR-$ AC_{INPAINTED} $ where the susceptibility-induced signal voids were substituted with soft tissue information. Our inpainting algorithm delineates the outer contour of signal voids breaching the anatomical volume using the non-attenuation-corrected PET image and classifies the inner air regions based on an aligned template of likely dental artifact areas. The reconstructed PET images were evaluated visually and quantitatively using regions of interests in reference regions. The volume of the artifacts and the computed relative differences in mean and max standardized uptake value (SUV) between the two PET images are reported. Results The MR-based volume of the susceptibility-induced signal voids on the MR-AC attenuation maps was between 1.6 and 520.8 mL. The corresponding/resulting bias of the reconstructed tracer distribution was localized mainly in the area of the signal void. The mean and maximum SUVs averaged across all patients increased after inpainting by 52% (± 11%) and 28% (± 11%), respectively, in the corrected region. SUV underestimation decreased with the distance to the signal void and correlated with the volume of the susceptibility artifact on the MR-AC attenuation map. Conclusions Metallic dental work may cause severe MR signal voids. The resulting PET/MR artifacts may exceed the actual volume of the dental fillings. The subsequent bias in PET is severe in regions in and near the signal voids and may affect the conspicuity of lesions in the mandibular region. Ausführliche Beschreibung

Gespeichert in:

Autor*in:	Ladefoged, Claes N [verfasserIn] Hansen, Adam E Keller, Sune H Fischer, Barbara M Rasmussen, Jacob H Law, Ian Kjær, Andreas Højgaard, Liselotte Lauze, Francois Beyer, Thomas Andersen, Flemming L

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2015

Schlagwörter:	PET/MRI Attenuation correction Metal artifacts Quantification Inpainting

Anmerkung:	© Ladefoged et al.; licensee Springer. 2015. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (

Übergeordnetes Werk:	Enthalten in: EJNMMI Physics - Berlin : SpringerOpen, 2014, 2(2015), 1 vom: 11. März
Übergeordnetes Werk:	volume:2 ; year:2015 ; number:1 ; day:11 ; month:03

Links:	Volltext

DOI / URN:	10.1186/s40658-015-0112-5

Katalog-ID:	SPR037126911

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520			\|a Background In the absence of CT or traditional transmission sources in combined clinical positron emission tomography/magnetic resonance (PET/MR) systems, MR images are used for MR-based attenuation correction (MR-AC). The susceptibility effects due to metal implants challenge MR-AC in the neck region of patients with dental implants. The purpose of this study was to assess the frequency and magnitude of subsequent PET image distortions following MR-AC. Methods A total of 148 PET/MR patients with clear visual signal voids on the attenuation map in the dental region were included in this study. Patients were injected with [18F]-FDG, [11C]-PiB, [18F]-FET, or [64Cu]-DOTATATE. The PET/MR data were acquired over a single-bed position of 25.8 cm covering the head and neck. MR-AC was based on either standard MR-$ AC_{DIXON} $ or MR-$ AC_{INPAINTED} $ where the susceptibility-induced signal voids were substituted with soft tissue information. Our inpainting algorithm delineates the outer contour of signal voids breaching the anatomical volume using the non-attenuation-corrected PET image and classifies the inner air regions based on an aligned template of likely dental artifact areas. The reconstructed PET images were evaluated visually and quantitatively using regions of interests in reference regions. The volume of the artifacts and the computed relative differences in mean and max standardized uptake value (SUV) between the two PET images are reported. Results The MR-based volume of the susceptibility-induced signal voids on the MR-AC attenuation maps was between 1.6 and 520.8 mL. The corresponding/resulting bias of the reconstructed tracer distribution was localized mainly in the area of the signal void. The mean and maximum SUVs averaged across all patients increased after inpainting by 52% (± 11%) and 28% (± 11%), respectively, in the corrected region. SUV underestimation decreased with the distance to the signal void and correlated with the volume of the susceptibility artifact on the MR-AC attenuation map. Conclusions Metallic dental work may cause severe MR signal voids. The resulting PET/MR artifacts may exceed the actual volume of the dental fillings. The subsequent bias in PET is severe in regions in and near the signal voids and may affect the conspicuity of lesions in the mandibular region.
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allfields	10.1186/s40658-015-0112-5 doi (DE-627)SPR037126911 (SPR)s40658-015-0112-5-e DE-627 ger DE-627 rakwb eng Ladefoged, Claes N verfasserin aut Dental artifacts in the head and neck region: implications for Dixon-based attenuation correction in PET/MR 2015 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Ladefoged et al.; licensee Springer. 2015. This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( Background In the absence of CT or traditional transmission sources in combined clinical positron emission tomography/magnetic resonance (PET/MR) systems, MR images are used for MR-based attenuation correction (MR-AC). The susceptibility effects due to metal implants challenge MR-AC in the neck region of patients with dental implants. The purpose of this study was to assess the frequency and magnitude of subsequent PET image distortions following MR-AC. Methods A total of 148 PET/MR patients with clear visual signal voids on the attenuation map in the dental region were included in this study. Patients were injected with [18F]-FDG, [11C]-PiB, [18F]-FET, or [64Cu]-DOTATATE. The PET/MR data were acquired over a single-bed position of 25.8 cm covering the head and neck. MR-AC was based on either standard MR-$ AC_{DIXON} $ or MR-$ AC_{INPAINTED} $ where the susceptibility-induced signal voids were substituted with soft tissue information. Our inpainting algorithm delineates the outer contour of signal voids breaching the anatomical volume using the non-attenuation-corrected PET image and classifies the inner air regions based on an aligned template of likely dental artifact areas. The reconstructed PET images were evaluated visually and quantitatively using regions of interests in reference regions. The volume of the artifacts and the computed relative differences in mean and max standardized uptake value (SUV) between the two PET images are reported. Results The MR-based volume of the susceptibility-induced signal voids on the MR-AC attenuation maps was between 1.6 and 520.8 mL. The corresponding/resulting bias of the reconstructed tracer distribution was localized mainly in the area of the signal void. The mean and maximum SUVs averaged across all patients increased after inpainting by 52% (± 11%) and 28% (± 11%), respectively, in the corrected region. SUV underestimation decreased with the distance to the signal void and correlated with the volume of the susceptibility artifact on the MR-AC attenuation map. Conclusions Metallic dental work may cause severe MR signal voids. The resulting PET/MR artifacts may exceed the actual volume of the dental fillings. The subsequent bias in PET is severe in regions in and near the signal voids and may affect the conspicuity of lesions in the mandibular region. PET/MRI (dpeaa)DE-He213 Attenuation correction (dpeaa)DE-He213 Metal artifacts (dpeaa)DE-He213 Quantification (dpeaa)DE-He213 Inpainting (dpeaa)DE-He213 Hansen, Adam E aut Keller, Sune H aut Fischer, Barbara M aut Rasmussen, Jacob H aut Law, Ian aut Kjær, Andreas aut Højgaard, Liselotte aut Lauze, Francois aut Beyer, Thomas aut Andersen, Flemming L aut Enthalten in EJNMMI Physics Berlin : SpringerOpen, 2014 2(2015), 1 vom: 11. März (DE-627)785697993 (DE-600)2768912-8 2197-7364 nnns volume:2 year:2015 number:1 day:11 month:03 https://dx.doi.org/10.1186/s40658-015-0112-5 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_2446 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 2 2015 1 11 03
spelling	10.1186/s40658-015-0112-5 doi (DE-627)SPR037126911 (SPR)s40658-015-0112-5-e DE-627 ger DE-627 rakwb eng Ladefoged, Claes N verfasserin aut Dental artifacts in the head and neck region: implications for Dixon-based attenuation correction in PET/MR 2015 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Ladefoged et al.; licensee Springer. 2015. This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( Background In the absence of CT or traditional transmission sources in combined clinical positron emission tomography/magnetic resonance (PET/MR) systems, MR images are used for MR-based attenuation correction (MR-AC). The susceptibility effects due to metal implants challenge MR-AC in the neck region of patients with dental implants. The purpose of this study was to assess the frequency and magnitude of subsequent PET image distortions following MR-AC. Methods A total of 148 PET/MR patients with clear visual signal voids on the attenuation map in the dental region were included in this study. Patients were injected with [18F]-FDG, [11C]-PiB, [18F]-FET, or [64Cu]-DOTATATE. The PET/MR data were acquired over a single-bed position of 25.8 cm covering the head and neck. MR-AC was based on either standard MR-$ AC_{DIXON} $ or MR-$ AC_{INPAINTED} $ where the susceptibility-induced signal voids were substituted with soft tissue information. Our inpainting algorithm delineates the outer contour of signal voids breaching the anatomical volume using the non-attenuation-corrected PET image and classifies the inner air regions based on an aligned template of likely dental artifact areas. The reconstructed PET images were evaluated visually and quantitatively using regions of interests in reference regions. The volume of the artifacts and the computed relative differences in mean and max standardized uptake value (SUV) between the two PET images are reported. Results The MR-based volume of the susceptibility-induced signal voids on the MR-AC attenuation maps was between 1.6 and 520.8 mL. The corresponding/resulting bias of the reconstructed tracer distribution was localized mainly in the area of the signal void. The mean and maximum SUVs averaged across all patients increased after inpainting by 52% (± 11%) and 28% (± 11%), respectively, in the corrected region. SUV underestimation decreased with the distance to the signal void and correlated with the volume of the susceptibility artifact on the MR-AC attenuation map. Conclusions Metallic dental work may cause severe MR signal voids. The resulting PET/MR artifacts may exceed the actual volume of the dental fillings. The subsequent bias in PET is severe in regions in and near the signal voids and may affect the conspicuity of lesions in the mandibular region. PET/MRI (dpeaa)DE-He213 Attenuation correction (dpeaa)DE-He213 Metal artifacts (dpeaa)DE-He213 Quantification (dpeaa)DE-He213 Inpainting (dpeaa)DE-He213 Hansen, Adam E aut Keller, Sune H aut Fischer, Barbara M aut Rasmussen, Jacob H aut Law, Ian aut Kjær, Andreas aut Højgaard, Liselotte aut Lauze, Francois aut Beyer, Thomas aut Andersen, Flemming L aut Enthalten in EJNMMI Physics Berlin : SpringerOpen, 2014 2(2015), 1 vom: 11. März (DE-627)785697993 (DE-600)2768912-8 2197-7364 nnns volume:2 year:2015 number:1 day:11 month:03 https://dx.doi.org/10.1186/s40658-015-0112-5 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_2446 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 2 2015 1 11 03
allfields_unstemmed	10.1186/s40658-015-0112-5 doi (DE-627)SPR037126911 (SPR)s40658-015-0112-5-e DE-627 ger DE-627 rakwb eng Ladefoged, Claes N verfasserin aut Dental artifacts in the head and neck region: implications for Dixon-based attenuation correction in PET/MR 2015 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Ladefoged et al.; licensee Springer. 2015. This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( Background In the absence of CT or traditional transmission sources in combined clinical positron emission tomography/magnetic resonance (PET/MR) systems, MR images are used for MR-based attenuation correction (MR-AC). The susceptibility effects due to metal implants challenge MR-AC in the neck region of patients with dental implants. The purpose of this study was to assess the frequency and magnitude of subsequent PET image distortions following MR-AC. Methods A total of 148 PET/MR patients with clear visual signal voids on the attenuation map in the dental region were included in this study. Patients were injected with [18F]-FDG, [11C]-PiB, [18F]-FET, or [64Cu]-DOTATATE. The PET/MR data were acquired over a single-bed position of 25.8 cm covering the head and neck. MR-AC was based on either standard MR-$ AC_{DIXON} $ or MR-$ AC_{INPAINTED} $ where the susceptibility-induced signal voids were substituted with soft tissue information. Our inpainting algorithm delineates the outer contour of signal voids breaching the anatomical volume using the non-attenuation-corrected PET image and classifies the inner air regions based on an aligned template of likely dental artifact areas. The reconstructed PET images were evaluated visually and quantitatively using regions of interests in reference regions. The volume of the artifacts and the computed relative differences in mean and max standardized uptake value (SUV) between the two PET images are reported. Results The MR-based volume of the susceptibility-induced signal voids on the MR-AC attenuation maps was between 1.6 and 520.8 mL. The corresponding/resulting bias of the reconstructed tracer distribution was localized mainly in the area of the signal void. The mean and maximum SUVs averaged across all patients increased after inpainting by 52% (± 11%) and 28% (± 11%), respectively, in the corrected region. SUV underestimation decreased with the distance to the signal void and correlated with the volume of the susceptibility artifact on the MR-AC attenuation map. Conclusions Metallic dental work may cause severe MR signal voids. The resulting PET/MR artifacts may exceed the actual volume of the dental fillings. The subsequent bias in PET is severe in regions in and near the signal voids and may affect the conspicuity of lesions in the mandibular region. PET/MRI (dpeaa)DE-He213 Attenuation correction (dpeaa)DE-He213 Metal artifacts (dpeaa)DE-He213 Quantification (dpeaa)DE-He213 Inpainting (dpeaa)DE-He213 Hansen, Adam E aut Keller, Sune H aut Fischer, Barbara M aut Rasmussen, Jacob H aut Law, Ian aut Kjær, Andreas aut Højgaard, Liselotte aut Lauze, Francois aut Beyer, Thomas aut Andersen, Flemming L aut Enthalten in EJNMMI Physics Berlin : SpringerOpen, 2014 2(2015), 1 vom: 11. März (DE-627)785697993 (DE-600)2768912-8 2197-7364 nnns volume:2 year:2015 number:1 day:11 month:03 https://dx.doi.org/10.1186/s40658-015-0112-5 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_2446 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 2 2015 1 11 03
allfieldsGer	10.1186/s40658-015-0112-5 doi (DE-627)SPR037126911 (SPR)s40658-015-0112-5-e DE-627 ger DE-627 rakwb eng Ladefoged, Claes N verfasserin aut Dental artifacts in the head and neck region: implications for Dixon-based attenuation correction in PET/MR 2015 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Ladefoged et al.; licensee Springer. 2015. This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( Background In the absence of CT or traditional transmission sources in combined clinical positron emission tomography/magnetic resonance (PET/MR) systems, MR images are used for MR-based attenuation correction (MR-AC). The susceptibility effects due to metal implants challenge MR-AC in the neck region of patients with dental implants. The purpose of this study was to assess the frequency and magnitude of subsequent PET image distortions following MR-AC. Methods A total of 148 PET/MR patients with clear visual signal voids on the attenuation map in the dental region were included in this study. Patients were injected with [18F]-FDG, [11C]-PiB, [18F]-FET, or [64Cu]-DOTATATE. The PET/MR data were acquired over a single-bed position of 25.8 cm covering the head and neck. MR-AC was based on either standard MR-$ AC_{DIXON} $ or MR-$ AC_{INPAINTED} $ where the susceptibility-induced signal voids were substituted with soft tissue information. Our inpainting algorithm delineates the outer contour of signal voids breaching the anatomical volume using the non-attenuation-corrected PET image and classifies the inner air regions based on an aligned template of likely dental artifact areas. The reconstructed PET images were evaluated visually and quantitatively using regions of interests in reference regions. The volume of the artifacts and the computed relative differences in mean and max standardized uptake value (SUV) between the two PET images are reported. Results The MR-based volume of the susceptibility-induced signal voids on the MR-AC attenuation maps was between 1.6 and 520.8 mL. The corresponding/resulting bias of the reconstructed tracer distribution was localized mainly in the area of the signal void. The mean and maximum SUVs averaged across all patients increased after inpainting by 52% (± 11%) and 28% (± 11%), respectively, in the corrected region. SUV underestimation decreased with the distance to the signal void and correlated with the volume of the susceptibility artifact on the MR-AC attenuation map. Conclusions Metallic dental work may cause severe MR signal voids. The resulting PET/MR artifacts may exceed the actual volume of the dental fillings. The subsequent bias in PET is severe in regions in and near the signal voids and may affect the conspicuity of lesions in the mandibular region. PET/MRI (dpeaa)DE-He213 Attenuation correction (dpeaa)DE-He213 Metal artifacts (dpeaa)DE-He213 Quantification (dpeaa)DE-He213 Inpainting (dpeaa)DE-He213 Hansen, Adam E aut Keller, Sune H aut Fischer, Barbara M aut Rasmussen, Jacob H aut Law, Ian aut Kjær, Andreas aut Højgaard, Liselotte aut Lauze, Francois aut Beyer, Thomas aut Andersen, Flemming L aut Enthalten in EJNMMI Physics Berlin : SpringerOpen, 2014 2(2015), 1 vom: 11. März (DE-627)785697993 (DE-600)2768912-8 2197-7364 nnns volume:2 year:2015 number:1 day:11 month:03 https://dx.doi.org/10.1186/s40658-015-0112-5 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_2446 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 2 2015 1 11 03
allfieldsSound	10.1186/s40658-015-0112-5 doi (DE-627)SPR037126911 (SPR)s40658-015-0112-5-e DE-627 ger DE-627 rakwb eng Ladefoged, Claes N verfasserin aut Dental artifacts in the head and neck region: implications for Dixon-based attenuation correction in PET/MR 2015 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Ladefoged et al.; licensee Springer. 2015. This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( Background In the absence of CT or traditional transmission sources in combined clinical positron emission tomography/magnetic resonance (PET/MR) systems, MR images are used for MR-based attenuation correction (MR-AC). The susceptibility effects due to metal implants challenge MR-AC in the neck region of patients with dental implants. The purpose of this study was to assess the frequency and magnitude of subsequent PET image distortions following MR-AC. Methods A total of 148 PET/MR patients with clear visual signal voids on the attenuation map in the dental region were included in this study. Patients were injected with [18F]-FDG, [11C]-PiB, [18F]-FET, or [64Cu]-DOTATATE. The PET/MR data were acquired over a single-bed position of 25.8 cm covering the head and neck. MR-AC was based on either standard MR-$ AC_{DIXON} $ or MR-$ AC_{INPAINTED} $ where the susceptibility-induced signal voids were substituted with soft tissue information. Our inpainting algorithm delineates the outer contour of signal voids breaching the anatomical volume using the non-attenuation-corrected PET image and classifies the inner air regions based on an aligned template of likely dental artifact areas. The reconstructed PET images were evaluated visually and quantitatively using regions of interests in reference regions. The volume of the artifacts and the computed relative differences in mean and max standardized uptake value (SUV) between the two PET images are reported. Results The MR-based volume of the susceptibility-induced signal voids on the MR-AC attenuation maps was between 1.6 and 520.8 mL. The corresponding/resulting bias of the reconstructed tracer distribution was localized mainly in the area of the signal void. The mean and maximum SUVs averaged across all patients increased after inpainting by 52% (± 11%) and 28% (± 11%), respectively, in the corrected region. SUV underestimation decreased with the distance to the signal void and correlated with the volume of the susceptibility artifact on the MR-AC attenuation map. Conclusions Metallic dental work may cause severe MR signal voids. The resulting PET/MR artifacts may exceed the actual volume of the dental fillings. The subsequent bias in PET is severe in regions in and near the signal voids and may affect the conspicuity of lesions in the mandibular region. PET/MRI (dpeaa)DE-He213 Attenuation correction (dpeaa)DE-He213 Metal artifacts (dpeaa)DE-He213 Quantification (dpeaa)DE-He213 Inpainting (dpeaa)DE-He213 Hansen, Adam E aut Keller, Sune H aut Fischer, Barbara M aut Rasmussen, Jacob H aut Law, Ian aut Kjær, Andreas aut Højgaard, Liselotte aut Lauze, Francois aut Beyer, Thomas aut Andersen, Flemming L aut Enthalten in EJNMMI Physics Berlin : SpringerOpen, 2014 2(2015), 1 vom: 11. März (DE-627)785697993 (DE-600)2768912-8 2197-7364 nnns volume:2 year:2015 number:1 day:11 month:03 https://dx.doi.org/10.1186/s40658-015-0112-5 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_2446 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 2 2015 1 11 03
language	English
source	Enthalten in EJNMMI Physics 2(2015), 1 vom: 11. März volume:2 year:2015 number:1 day:11 month:03
sourceStr	Enthalten in EJNMMI Physics 2(2015), 1 vom: 11. März volume:2 year:2015 number:1 day:11 month:03
format_phy_str_mv	Article
institution	findex.gbv.de
topic_facet	PET/MRI Attenuation correction Metal artifacts Quantification Inpainting
isfreeaccess_bool	false
container_title	EJNMMI Physics
authorswithroles_txt_mv	Ladefoged, Claes N @@aut@@ Hansen, Adam E @@aut@@ Keller, Sune H @@aut@@ Fischer, Barbara M @@aut@@ Rasmussen, Jacob H @@aut@@ Law, Ian @@aut@@ Kjær, Andreas @@aut@@ Højgaard, Liselotte @@aut@@ Lauze, Francois @@aut@@ Beyer, Thomas @@aut@@ Andersen, Flemming L @@aut@@
publishDateDaySort_date	2015-03-11T00:00:00Z
hierarchy_top_id	785697993
id	SPR037126911
language_de	englisch
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MR-AC was based on either standard MR-$ AC_{DIXON} $ or MR-$ AC_{INPAINTED} $ where the susceptibility-induced signal voids were substituted with soft tissue information. Our inpainting algorithm delineates the outer contour of signal voids breaching the anatomical volume using the non-attenuation-corrected PET image and classifies the inner air regions based on an aligned template of likely dental artifact areas. The reconstructed PET images were evaluated visually and quantitatively using regions of interests in reference regions. The volume of the artifacts and the computed relative differences in mean and max standardized uptake value (SUV) between the two PET images are reported. Results The MR-based volume of the susceptibility-induced signal voids on the MR-AC attenuation maps was between 1.6 and 520.8 mL. The corresponding/resulting bias of the reconstructed tracer distribution was localized mainly in the area of the signal void. The mean and maximum SUVs averaged across all patients increased after inpainting by 52% (± 11%) and 28% (± 11%), respectively, in the corrected region. SUV underestimation decreased with the distance to the signal void and correlated with the volume of the susceptibility artifact on the MR-AC attenuation map. Conclusions Metallic dental work may cause severe MR signal voids. The resulting PET/MR artifacts may exceed the actual volume of the dental fillings. 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author	Ladefoged, Claes N
spellingShingle	Ladefoged, Claes N misc PET/MRI misc Attenuation correction misc Metal artifacts misc Quantification misc Inpainting Dental artifacts in the head and neck region: implications for Dixon-based attenuation correction in PET/MR
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topic_title	Dental artifacts in the head and neck region: implications for Dixon-based attenuation correction in PET/MR PET/MRI (dpeaa)DE-He213 Attenuation correction (dpeaa)DE-He213 Metal artifacts (dpeaa)DE-He213 Quantification (dpeaa)DE-He213 Inpainting (dpeaa)DE-He213
topic	misc PET/MRI misc Attenuation correction misc Metal artifacts misc Quantification misc Inpainting
topic_unstemmed	misc PET/MRI misc Attenuation correction misc Metal artifacts misc Quantification misc Inpainting
topic_browse	misc PET/MRI misc Attenuation correction misc Metal artifacts misc Quantification misc Inpainting
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title	Dental artifacts in the head and neck region: implications for Dixon-based attenuation correction in PET/MR
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title_full	Dental artifacts in the head and neck region: implications for Dixon-based attenuation correction in PET/MR
author_sort	Ladefoged, Claes N
journal	EJNMMI Physics
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author_browse	Ladefoged, Claes N Hansen, Adam E Keller, Sune H Fischer, Barbara M Rasmussen, Jacob H Law, Ian Kjær, Andreas Højgaard, Liselotte Lauze, Francois Beyer, Thomas Andersen, Flemming L
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format_se	Elektronische Aufsätze
author-letter	Ladefoged, Claes N
doi_str_mv	10.1186/s40658-015-0112-5
title_sort	dental artifacts in the head and neck region: implications for dixon-based attenuation correction in pet/mr
title_auth	Dental artifacts in the head and neck region: implications for Dixon-based attenuation correction in PET/MR
abstract	Background In the absence of CT or traditional transmission sources in combined clinical positron emission tomography/magnetic resonance (PET/MR) systems, MR images are used for MR-based attenuation correction (MR-AC). The susceptibility effects due to metal implants challenge MR-AC in the neck region of patients with dental implants. The purpose of this study was to assess the frequency and magnitude of subsequent PET image distortions following MR-AC. Methods A total of 148 PET/MR patients with clear visual signal voids on the attenuation map in the dental region were included in this study. Patients were injected with [18F]-FDG, [11C]-PiB, [18F]-FET, or [64Cu]-DOTATATE. The PET/MR data were acquired over a single-bed position of 25.8 cm covering the head and neck. MR-AC was based on either standard MR-$ AC_{DIXON} $ or MR-$ AC_{INPAINTED} $ where the susceptibility-induced signal voids were substituted with soft tissue information. Our inpainting algorithm delineates the outer contour of signal voids breaching the anatomical volume using the non-attenuation-corrected PET image and classifies the inner air regions based on an aligned template of likely dental artifact areas. The reconstructed PET images were evaluated visually and quantitatively using regions of interests in reference regions. The volume of the artifacts and the computed relative differences in mean and max standardized uptake value (SUV) between the two PET images are reported. Results The MR-based volume of the susceptibility-induced signal voids on the MR-AC attenuation maps was between 1.6 and 520.8 mL. The corresponding/resulting bias of the reconstructed tracer distribution was localized mainly in the area of the signal void. The mean and maximum SUVs averaged across all patients increased after inpainting by 52% (± 11%) and 28% (± 11%), respectively, in the corrected region. SUV underestimation decreased with the distance to the signal void and correlated with the volume of the susceptibility artifact on the MR-AC attenuation map. Conclusions Metallic dental work may cause severe MR signal voids. The resulting PET/MR artifacts may exceed the actual volume of the dental fillings. The subsequent bias in PET is severe in regions in and near the signal voids and may affect the conspicuity of lesions in the mandibular region. © Ladefoged et al.; licensee Springer. 2015. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (
abstractGer	Background In the absence of CT or traditional transmission sources in combined clinical positron emission tomography/magnetic resonance (PET/MR) systems, MR images are used for MR-based attenuation correction (MR-AC). The susceptibility effects due to metal implants challenge MR-AC in the neck region of patients with dental implants. The purpose of this study was to assess the frequency and magnitude of subsequent PET image distortions following MR-AC. Methods A total of 148 PET/MR patients with clear visual signal voids on the attenuation map in the dental region were included in this study. Patients were injected with [18F]-FDG, [11C]-PiB, [18F]-FET, or [64Cu]-DOTATATE. The PET/MR data were acquired over a single-bed position of 25.8 cm covering the head and neck. MR-AC was based on either standard MR-$ AC_{DIXON} $ or MR-$ AC_{INPAINTED} $ where the susceptibility-induced signal voids were substituted with soft tissue information. Our inpainting algorithm delineates the outer contour of signal voids breaching the anatomical volume using the non-attenuation-corrected PET image and classifies the inner air regions based on an aligned template of likely dental artifact areas. The reconstructed PET images were evaluated visually and quantitatively using regions of interests in reference regions. The volume of the artifacts and the computed relative differences in mean and max standardized uptake value (SUV) between the two PET images are reported. Results The MR-based volume of the susceptibility-induced signal voids on the MR-AC attenuation maps was between 1.6 and 520.8 mL. The corresponding/resulting bias of the reconstructed tracer distribution was localized mainly in the area of the signal void. The mean and maximum SUVs averaged across all patients increased after inpainting by 52% (± 11%) and 28% (± 11%), respectively, in the corrected region. SUV underestimation decreased with the distance to the signal void and correlated with the volume of the susceptibility artifact on the MR-AC attenuation map. Conclusions Metallic dental work may cause severe MR signal voids. The resulting PET/MR artifacts may exceed the actual volume of the dental fillings. The subsequent bias in PET is severe in regions in and near the signal voids and may affect the conspicuity of lesions in the mandibular region. © Ladefoged et al.; licensee Springer. 2015. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (
abstract_unstemmed	Background In the absence of CT or traditional transmission sources in combined clinical positron emission tomography/magnetic resonance (PET/MR) systems, MR images are used for MR-based attenuation correction (MR-AC). The susceptibility effects due to metal implants challenge MR-AC in the neck region of patients with dental implants. The purpose of this study was to assess the frequency and magnitude of subsequent PET image distortions following MR-AC. Methods A total of 148 PET/MR patients with clear visual signal voids on the attenuation map in the dental region were included in this study. Patients were injected with [18F]-FDG, [11C]-PiB, [18F]-FET, or [64Cu]-DOTATATE. The PET/MR data were acquired over a single-bed position of 25.8 cm covering the head and neck. MR-AC was based on either standard MR-$ AC_{DIXON} $ or MR-$ AC_{INPAINTED} $ where the susceptibility-induced signal voids were substituted with soft tissue information. Our inpainting algorithm delineates the outer contour of signal voids breaching the anatomical volume using the non-attenuation-corrected PET image and classifies the inner air regions based on an aligned template of likely dental artifact areas. The reconstructed PET images were evaluated visually and quantitatively using regions of interests in reference regions. The volume of the artifacts and the computed relative differences in mean and max standardized uptake value (SUV) between the two PET images are reported. Results The MR-based volume of the susceptibility-induced signal voids on the MR-AC attenuation maps was between 1.6 and 520.8 mL. The corresponding/resulting bias of the reconstructed tracer distribution was localized mainly in the area of the signal void. The mean and maximum SUVs averaged across all patients increased after inpainting by 52% (± 11%) and 28% (± 11%), respectively, in the corrected region. SUV underestimation decreased with the distance to the signal void and correlated with the volume of the susceptibility artifact on the MR-AC attenuation map. Conclusions Metallic dental work may cause severe MR signal voids. The resulting PET/MR artifacts may exceed the actual volume of the dental fillings. The subsequent bias in PET is severe in regions in and near the signal voids and may affect the conspicuity of lesions in the mandibular region. © Ladefoged et al.; licensee Springer. 2015. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (
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title_short	Dental artifacts in the head and neck region: implications for Dixon-based attenuation correction in PET/MR
url	https://dx.doi.org/10.1186/s40658-015-0112-5
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author2	Hansen, Adam E Keller, Sune H Fischer, Barbara M Rasmussen, Jacob H Law, Ian Kjær, Andreas Højgaard, Liselotte Lauze, Francois Beyer, Thomas Andersen, Flemming L
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Dental artifacts in the head and neck region: implications for Dixon-based attenuation correction in PET/MR

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