PET/MRI in the presence of metal implants: Completion of the attenuation map from PET emission data

Research output: Contribution to journalJournal article – Annual report year: 2017Researchpeer-review

Standard

PET/MRI in the presence of metal implants: Completion of the attenuation map from PET emission data. / Fuin, Niccolo; Pedemonte, Stefano; Catalano, Onofrio A.; Izquierdo-Garcia, David; Soricelli, Andrea; Salvatore, Marco; Heberlein, Keith; Hooker, Jacob M.; Van Leemput, Koen; Catana, Ciprian.

In: Journal of Nuclear Medicine, Vol. 58, No. 5, 01.05.2017, p. 840-845.

Research output: Contribution to journalJournal article – Annual report year: 2017Researchpeer-review

Harvard

Fuin, N, Pedemonte, S, Catalano, OA, Izquierdo-Garcia, D, Soricelli, A, Salvatore, M, Heberlein, K, Hooker, JM, Van Leemput, K & Catana, C 2017, 'PET/MRI in the presence of metal implants: Completion of the attenuation map from PET emission data', Journal of Nuclear Medicine, vol. 58, no. 5, pp. 840-845. https://doi.org/10.2967/jnumed.116.183343

APA

Fuin, N., Pedemonte, S., Catalano, O. A., Izquierdo-Garcia, D., Soricelli, A., Salvatore, M., ... Catana, C. (2017). PET/MRI in the presence of metal implants: Completion of the attenuation map from PET emission data. Journal of Nuclear Medicine, 58(5), 840-845. https://doi.org/10.2967/jnumed.116.183343

CBE

Fuin N, Pedemonte S, Catalano OA, Izquierdo-Garcia D, Soricelli A, Salvatore M, Heberlein K, Hooker JM, Van Leemput K, Catana C. 2017. PET/MRI in the presence of metal implants: Completion of the attenuation map from PET emission data. Journal of Nuclear Medicine. 58(5):840-845. https://doi.org/10.2967/jnumed.116.183343

MLA

Vancouver

Fuin N, Pedemonte S, Catalano OA, Izquierdo-Garcia D, Soricelli A, Salvatore M et al. PET/MRI in the presence of metal implants: Completion of the attenuation map from PET emission data. Journal of Nuclear Medicine. 2017 May 1;58(5):840-845. https://doi.org/10.2967/jnumed.116.183343

Author

Fuin, Niccolo ; Pedemonte, Stefano ; Catalano, Onofrio A. ; Izquierdo-Garcia, David ; Soricelli, Andrea ; Salvatore, Marco ; Heberlein, Keith ; Hooker, Jacob M. ; Van Leemput, Koen ; Catana, Ciprian. / PET/MRI in the presence of metal implants: Completion of the attenuation map from PET emission data. In: Journal of Nuclear Medicine. 2017 ; Vol. 58, No. 5. pp. 840-845.

Bibtex

@article{d6f001e4232b47c99a2cf1f5cc58f2f6,
title = "PET/MRI in the presence of metal implants: Completion of the attenuation map from PET emission data",
abstract = "We present a novel technique for accurate whole-body attenuation correction in the presence of metallic endoprosthesis, on integrated non-time-of-flight (non-TOF) PET/MRI scanners. The proposed implant PET-based attenuationmap completion (IPAC) method performs a joint reconstruction of radioactivity and attenuation from the emission data to determine the position, shape, and linear attenuation coefficient (LAC) of metallic implants. Methods: The initial estimate of the attenuation map was obtained using the MR Dixon method currently available on the Siemens Biograph mMR scanner. The attenuation coefficients in the area of the MR image subjected to metal susceptibility artifacts are then reconstructed fromthe PET emission data using the IPAC algorithm. The method was tested on 11 subjects presenting 13 different metallic implants, who underwent CT and PET/MR scans. Relative mean LACs and Dice similarity coefficients were calculated to determine the accuracy of the reconstructed attenuation values and the shape of the metal implant, respectively. The reconstructed PET images were compared with those obtained using the reference CT-based approach and the Dixon-based method. Absolute relative change (aRC) images were generated in each case, and voxel-based analyses were performed. Results: The error in implant LAC estimation, using the proposed IPAC algorithm, was 15.7{\%}± 7.8{\%}, which was significantly smaller than the Dixon- (100{\%}) and CT-(39{\%}) derived values. A mean Dice similarity coefficient of 73{\%} ± 9{\%} was obtained when comparing the IPAC- with the CT-derived implant shape. The voxel-based analysis of the reconstructed PET images revealed quantification errors (aRC) of 13.2{\%} ± 22.1{\%} for the IPACwith respect to CT-corrected images. The Dixon-based method performed substantially worse, with a mean aRC of 23.1{\%} ± 38.4{\%}. Conclusion: We have presented a non-TOF emission-based approach for estimating the attenuation map in the presence of metallic implants, to be used for whole-body attenuation correction in integrated PET/MR scanners. The Graphics Processing Unit implementation of the algorithm will be included in the open-source reconstruction toolbox Occiput.io.",
keywords = "Attenuation correction, Integrated PET/MR, Metal implant, MLAA",
author = "Niccolo Fuin and Stefano Pedemonte and Catalano, {Onofrio A.} and David Izquierdo-Garcia and Andrea Soricelli and Marco Salvatore and Keith Heberlein and Hooker, {Jacob M.} and {Van Leemput}, Koen and Ciprian Catana",
year = "2017",
month = "5",
day = "1",
doi = "10.2967/jnumed.116.183343",
language = "English",
volume = "58",
pages = "840--845",
journal = "Journal of Nuclear Medicine",
issn = "0161-5505",
publisher = "Society of Nuclear Medicine",
number = "5",

}

RIS

TY - JOUR

T1 - PET/MRI in the presence of metal implants: Completion of the attenuation map from PET emission data

AU - Fuin, Niccolo

AU - Pedemonte, Stefano

AU - Catalano, Onofrio A.

AU - Izquierdo-Garcia, David

AU - Soricelli, Andrea

AU - Salvatore, Marco

AU - Heberlein, Keith

AU - Hooker, Jacob M.

AU - Van Leemput, Koen

AU - Catana, Ciprian

PY - 2017/5/1

Y1 - 2017/5/1

N2 - We present a novel technique for accurate whole-body attenuation correction in the presence of metallic endoprosthesis, on integrated non-time-of-flight (non-TOF) PET/MRI scanners. The proposed implant PET-based attenuationmap completion (IPAC) method performs a joint reconstruction of radioactivity and attenuation from the emission data to determine the position, shape, and linear attenuation coefficient (LAC) of metallic implants. Methods: The initial estimate of the attenuation map was obtained using the MR Dixon method currently available on the Siemens Biograph mMR scanner. The attenuation coefficients in the area of the MR image subjected to metal susceptibility artifacts are then reconstructed fromthe PET emission data using the IPAC algorithm. The method was tested on 11 subjects presenting 13 different metallic implants, who underwent CT and PET/MR scans. Relative mean LACs and Dice similarity coefficients were calculated to determine the accuracy of the reconstructed attenuation values and the shape of the metal implant, respectively. The reconstructed PET images were compared with those obtained using the reference CT-based approach and the Dixon-based method. Absolute relative change (aRC) images were generated in each case, and voxel-based analyses were performed. Results: The error in implant LAC estimation, using the proposed IPAC algorithm, was 15.7%± 7.8%, which was significantly smaller than the Dixon- (100%) and CT-(39%) derived values. A mean Dice similarity coefficient of 73% ± 9% was obtained when comparing the IPAC- with the CT-derived implant shape. The voxel-based analysis of the reconstructed PET images revealed quantification errors (aRC) of 13.2% ± 22.1% for the IPACwith respect to CT-corrected images. The Dixon-based method performed substantially worse, with a mean aRC of 23.1% ± 38.4%. Conclusion: We have presented a non-TOF emission-based approach for estimating the attenuation map in the presence of metallic implants, to be used for whole-body attenuation correction in integrated PET/MR scanners. The Graphics Processing Unit implementation of the algorithm will be included in the open-source reconstruction toolbox Occiput.io.

AB - We present a novel technique for accurate whole-body attenuation correction in the presence of metallic endoprosthesis, on integrated non-time-of-flight (non-TOF) PET/MRI scanners. The proposed implant PET-based attenuationmap completion (IPAC) method performs a joint reconstruction of radioactivity and attenuation from the emission data to determine the position, shape, and linear attenuation coefficient (LAC) of metallic implants. Methods: The initial estimate of the attenuation map was obtained using the MR Dixon method currently available on the Siemens Biograph mMR scanner. The attenuation coefficients in the area of the MR image subjected to metal susceptibility artifacts are then reconstructed fromthe PET emission data using the IPAC algorithm. The method was tested on 11 subjects presenting 13 different metallic implants, who underwent CT and PET/MR scans. Relative mean LACs and Dice similarity coefficients were calculated to determine the accuracy of the reconstructed attenuation values and the shape of the metal implant, respectively. The reconstructed PET images were compared with those obtained using the reference CT-based approach and the Dixon-based method. Absolute relative change (aRC) images were generated in each case, and voxel-based analyses were performed. Results: The error in implant LAC estimation, using the proposed IPAC algorithm, was 15.7%± 7.8%, which was significantly smaller than the Dixon- (100%) and CT-(39%) derived values. A mean Dice similarity coefficient of 73% ± 9% was obtained when comparing the IPAC- with the CT-derived implant shape. The voxel-based analysis of the reconstructed PET images revealed quantification errors (aRC) of 13.2% ± 22.1% for the IPACwith respect to CT-corrected images. The Dixon-based method performed substantially worse, with a mean aRC of 23.1% ± 38.4%. Conclusion: We have presented a non-TOF emission-based approach for estimating the attenuation map in the presence of metallic implants, to be used for whole-body attenuation correction in integrated PET/MR scanners. The Graphics Processing Unit implementation of the algorithm will be included in the open-source reconstruction toolbox Occiput.io.

KW - Attenuation correction

KW - Integrated PET/MR

KW - Metal implant

KW - MLAA

U2 - 10.2967/jnumed.116.183343

DO - 10.2967/jnumed.116.183343

M3 - Journal article

VL - 58

SP - 840

EP - 845

JO - Journal of Nuclear Medicine

JF - Journal of Nuclear Medicine

SN - 0161-5505

IS - 5

ER -