Normalisation Factor Estimation in Non-TOF 3D PET from Multiple-Energy Window Data

Ludovica Brusaferri; Elise C. Emond; Alexandre Bousse; Robert Twyman; David Atkinson; Brian F. Hutton; Simon Arridge; Kris Thielemans

doi:10.1109/NSS/MIC42677.2020.9507957

Normalisation Factor Estimation in Non-TOF 3D PET from Multiple-Energy Window Data

Ludovica Brusaferri, Elise C. Emond, Alexandre Bousse, Robert Twyman, David Atkinson, Brian F. Hutton, Simon Arridge, Kris Thielemans

Computer Science and Informatics

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

Abstract

Several groups have considered the option of using multiple-energy window emission data to improve reconstruction accuracy for PET/MR imaging. However, the feasibility of this approach has only been studied with analytic simulations. To be able to handle realistic measurements a remaining challenge is related to the detection efficiencies (“normalisation”) for the different energy windows, which likely differ for scattered and unscattered events given the heterogeneity of photon energies, angles of incidence, and points of origination. In addition, the lower energy windows will potentially contain events that have been affected by scatter in the detector. This manuscript investigates the problem of estimating the normalisation factors for PET data acquired from multiple energy windows.

Original language	English
Title of host publication	2020 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2020
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781728176932
ISBN (Print)	9781728176932
DOIs	https://doi.org/10.1109/NSS/MIC42677.2020.9507957
Publication status	Published - 7 Nov 2020
Event	2020 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2020 - Boston, United States Duration: 31 Oct 2020 → 7 Nov 2020

Publication series

Name	2020 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2020

Conference

Conference	2020 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2020
Country/Territory	United States
City	Boston
Period	31/10/20 → 7/11/20

Bibliographical note

Publisher Copyright:
© 2020 IEEE

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10.1109/NSS/MIC42677.2020.9507957

Cite this

Brusaferri, L., Emond, E. C., Bousse, A., Twyman, R., Atkinson, D., Hutton, B. F., Arridge, S., & Thielemans, K. (2020). Normalisation Factor Estimation in Non-TOF 3D PET from Multiple-Energy Window Data. In 2020 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2020 (2020 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2020). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/NSS/MIC42677.2020.9507957

Brusaferri, Ludovica ; Emond, Elise C. ; Bousse, Alexandre et al. / Normalisation Factor Estimation in Non-TOF 3D PET from Multiple-Energy Window Data. 2020 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2020. Institute of Electrical and Electronics Engineers Inc., 2020. (2020 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2020).

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title = "Normalisation Factor Estimation in Non-TOF 3D PET from Multiple-Energy Window Data",

abstract = "Several groups have considered the option of using multiple-energy window emission data to improve reconstruction accuracy for PET/MR imaging. However, the feasibility of this approach has only been studied with analytic simulations. To be able to handle realistic measurements a remaining challenge is related to the detection efficiencies (“normalisation”) for the different energy windows, which likely differ for scattered and unscattered events given the heterogeneity of photon energies, angles of incidence, and points of origination. In addition, the lower energy windows will potentially contain events that have been affected by scatter in the detector. This manuscript investigates the problem of estimating the normalisation factors for PET data acquired from multiple energy windows.",

author = "Ludovica Brusaferri and Emond, {Elise C.} and Alexandre Bousse and Robert Twyman and David Atkinson and Hutton, {Brian F.} and Simon Arridge and Kris Thielemans",

note = "Publisher Copyright: {\textcopyright} 2020 IEEE; 2020 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2020 ; Conference date: 31-10-2020 Through 07-11-2020",

year = "2020",

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doi = "10.1109/NSS/MIC42677.2020.9507957",

language = "English",

isbn = "9781728176932",

series = "2020 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2020",

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Brusaferri, L, Emond, EC, Bousse, A, Twyman, R, Atkinson, D, Hutton, BF, Arridge, S & Thielemans, K 2020, Normalisation Factor Estimation in Non-TOF 3D PET from Multiple-Energy Window Data. in 2020 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2020. 2020 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2020, Institute of Electrical and Electronics Engineers Inc., 2020 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2020, Boston, United States, 31/10/20. https://doi.org/10.1109/NSS/MIC42677.2020.9507957

Normalisation Factor Estimation in Non-TOF 3D PET from Multiple-Energy Window Data. / Brusaferri, Ludovica; Emond, Elise C.; Bousse, Alexandre et al.
2020 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2020. Institute of Electrical and Electronics Engineers Inc., 2020. (2020 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2020).

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

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T1 - Normalisation Factor Estimation in Non-TOF 3D PET from Multiple-Energy Window Data

AU - Brusaferri, Ludovica

AU - Emond, Elise C.

AU - Bousse, Alexandre

AU - Twyman, Robert

AU - Atkinson, David

AU - Hutton, Brian F.

AU - Arridge, Simon

AU - Thielemans, Kris

PY - 2020/11/7

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N2 - Several groups have considered the option of using multiple-energy window emission data to improve reconstruction accuracy for PET/MR imaging. However, the feasibility of this approach has only been studied with analytic simulations. To be able to handle realistic measurements a remaining challenge is related to the detection efficiencies (“normalisation”) for the different energy windows, which likely differ for scattered and unscattered events given the heterogeneity of photon energies, angles of incidence, and points of origination. In addition, the lower energy windows will potentially contain events that have been affected by scatter in the detector. This manuscript investigates the problem of estimating the normalisation factors for PET data acquired from multiple energy windows.

AB - Several groups have considered the option of using multiple-energy window emission data to improve reconstruction accuracy for PET/MR imaging. However, the feasibility of this approach has only been studied with analytic simulations. To be able to handle realistic measurements a remaining challenge is related to the detection efficiencies (“normalisation”) for the different energy windows, which likely differ for scattered and unscattered events given the heterogeneity of photon energies, angles of incidence, and points of origination. In addition, the lower energy windows will potentially contain events that have been affected by scatter in the detector. This manuscript investigates the problem of estimating the normalisation factors for PET data acquired from multiple energy windows.

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M3 - Conference contribution

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T3 - 2020 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2020

BT - 2020 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2020

PB - Institute of Electrical and Electronics Engineers Inc.

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Brusaferri L, Emond EC, Bousse A, Twyman R, Atkinson D, Hutton BF et al. Normalisation Factor Estimation in Non-TOF 3D PET from Multiple-Energy Window Data. In 2020 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2020. Institute of Electrical and Electronics Engineers Inc. 2020. (2020 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2020). doi: 10.1109/NSS/MIC42677.2020.9507957

Normalisation Factor Estimation in Non-TOF 3D PET from Multiple-Energy Window Data

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