Maximum-likelihood estimation of emission and attenuation images in 3D PET from multiple energy window measurements

Ludovica Brusaferri; Alexandre Bousse; Yu Jung Tsai; David Atkinson; Sebastien Ourselin; Brian F. Hutton; Simon Arridge; Kris Thielemans

doi:10.1109/NSSMIC.2018.8824557

Maximum-likelihood estimation of emission and attenuation images in 3D PET from multiple energy window measurements

Ludovica Brusaferri, Alexandre Bousse, Yu Jung Tsai, David Atkinson, Sebastien Ourselin, Brian F. Hutton, Simon Arridge, Kris Thielemans

University College London

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

7 Citations (Scopus)

Abstract

This study explores the feasibility of incorporating energy information into a maximum-likelihood reconstruction of activity and attenuation (MLAA) framework. The attenuation and activity distributions were reconstructed from multiple energy window data, and a scatter function was added to the system model of the algorithm. The proposed energy-based method (MLAA-EB) was evaluated with simulated 3D phantom data, using the geometry and characteristics of a Siemens mMR PET-MR scanner. Results showed that the proposed algorithm is able to compensate for errors in the activity image caused by the incorrect assignment of attenuation values to the segmented MR. This is effective for small objects only, for large objects further solutions need to be found.

Original language	English
Title of host publication	2018 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2018 - Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781538684948
ISBN (Print)	9781538684948
DOIs	https://doi.org/10.1109/NSSMIC.2018.8824557 https://doi.org/10.1109/NSSMIC.2018.8824557
Publication status	Published - 17 Nov 2018
Externally published	Yes
Event	2018 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2018 - Sydney, Australia Duration: 10 Nov 2018 → 17 Nov 2018

Publication series

Name	2018 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2018 - Proceedings

Conference

Conference	2018 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2018
Country/Territory	Australia
City	Sydney
Period	10/11/18 → 17/11/18

Bibliographical note

Publisher Copyright:
© 2018 IEEE.

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Brusaferri, L., Bousse, A., Tsai, Y. J., Atkinson, D., Ourselin, S., Hutton, B. F., Arridge, S., & Thielemans, K. (2018). Maximum-likelihood estimation of emission and attenuation images in 3D PET from multiple energy window measurements. In 2018 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2018 - Proceedings Article 8824557 (2018 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2018 - Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/NSSMIC.2018.8824557, https://doi.org/10.1109/NSSMIC.2018.8824557

Brusaferri, Ludovica ; Bousse, Alexandre ; Tsai, Yu Jung et al. / Maximum-likelihood estimation of emission and attenuation images in 3D PET from multiple energy window measurements. 2018 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2018 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2018. (2018 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2018 - Proceedings).

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title = "Maximum-likelihood estimation of emission and attenuation images in 3D PET from multiple energy window measurements",

abstract = "This study explores the feasibility of incorporating energy information into a maximum-likelihood reconstruction of activity and attenuation (MLAA) framework. The attenuation and activity distributions were reconstructed from multiple energy window data, and a scatter function was added to the system model of the algorithm. The proposed energy-based method (MLAA-EB) was evaluated with simulated 3D phantom data, using the geometry and characteristics of a Siemens mMR PET-MR scanner. Results showed that the proposed algorithm is able to compensate for errors in the activity image caused by the incorrect assignment of attenuation values to the segmented MR. This is effective for small objects only, for large objects further solutions need to be found.",

author = "Ludovica Brusaferri and Alexandre Bousse and Tsai, {Yu Jung} and David Atkinson and Sebastien Ourselin and Hutton, {Brian F.} and Simon Arridge and Kris Thielemans",

note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 2018 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2018 ; Conference date: 10-11-2018 Through 17-11-2018",

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doi = "10.1109/NSSMIC.2018.8824557",

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Brusaferri, L, Bousse, A, Tsai, YJ, Atkinson, D, Ourselin, S, Hutton, BF, Arridge, S & Thielemans, K 2018, Maximum-likelihood estimation of emission and attenuation images in 3D PET from multiple energy window measurements. in 2018 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2018 - Proceedings., 8824557, 2018 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2018 - Proceedings, Institute of Electrical and Electronics Engineers Inc., 2018 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2018, Sydney, Australia, 10/11/18. https://doi.org/10.1109/NSSMIC.2018.8824557, https://doi.org/10.1109/NSSMIC.2018.8824557

Maximum-likelihood estimation of emission and attenuation images in 3D PET from multiple energy window measurements. / Brusaferri, Ludovica; Bousse, Alexandre; Tsai, Yu Jung et al.
2018 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2018 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2018. 8824557 (2018 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2018 - Proceedings).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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T1 - Maximum-likelihood estimation of emission and attenuation images in 3D PET from multiple energy window measurements

AU - Brusaferri, Ludovica

AU - Bousse, Alexandre

AU - Tsai, Yu Jung

AU - Atkinson, David

AU - Ourselin, Sebastien

AU - Hutton, Brian F.

AU - Arridge, Simon

AU - Thielemans, Kris

PY - 2018/11/17

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N2 - This study explores the feasibility of incorporating energy information into a maximum-likelihood reconstruction of activity and attenuation (MLAA) framework. The attenuation and activity distributions were reconstructed from multiple energy window data, and a scatter function was added to the system model of the algorithm. The proposed energy-based method (MLAA-EB) was evaluated with simulated 3D phantom data, using the geometry and characteristics of a Siemens mMR PET-MR scanner. Results showed that the proposed algorithm is able to compensate for errors in the activity image caused by the incorrect assignment of attenuation values to the segmented MR. This is effective for small objects only, for large objects further solutions need to be found.

AB - This study explores the feasibility of incorporating energy information into a maximum-likelihood reconstruction of activity and attenuation (MLAA) framework. The attenuation and activity distributions were reconstructed from multiple energy window data, and a scatter function was added to the system model of the algorithm. The proposed energy-based method (MLAA-EB) was evaluated with simulated 3D phantom data, using the geometry and characteristics of a Siemens mMR PET-MR scanner. Results showed that the proposed algorithm is able to compensate for errors in the activity image caused by the incorrect assignment of attenuation values to the segmented MR. This is effective for small objects only, for large objects further solutions need to be found.

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BT - 2018 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2018 - Proceedings

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Brusaferri L, Bousse A, Tsai YJ, Atkinson D, Ourselin S, Hutton BF et al. Maximum-likelihood estimation of emission and attenuation images in 3D PET from multiple energy window measurements. In 2018 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2018 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2018. 8824557. (2018 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2018 - Proceedings). doi: 10.1109/NSSMIC.2018.8824557, 10.1109/NSSMIC.2018.8824557

Maximum-likelihood estimation of emission and attenuation images in 3D PET from multiple energy window measurements

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