Motion-corrected reconstruction of parametric images from dynamic PET data with the Synergistic Image Reconstruction Framework (SIRF)

Richard Brown; Benjamin A. Thomas; Alaleh Rashidnasab; Kjell Erlandsson; Evgueni Ovtchinnikov; Edoardo Pasca; Andrew Reader; Julian C. Matthews; Charalampos Tsoumpas; Kris Thielemans

doi:10.1109/NSSMIC.2018.8824568

Motion-corrected reconstruction of parametric images from dynamic PET data with the Synergistic Image Reconstruction Framework (SIRF)

Richard Brown, Benjamin A. Thomas, Alaleh Rashidnasab, Kjell Erlandsson, Evgueni Ovtchinnikov, Edoardo Pasca, Andrew Reader, Julian C. Matthews, Charalampos Tsoumpas, Kris Thielemans

Biomedical Engineering Department

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

3 Citations (Scopus)

Abstract

Motion correction has been added to a PET-MR reconstruction tool, SIRF, by incorporating a registration package, NiftyReg. New functionality has been demonstrated in the context of estimating kinetic parameters in the left temporal lobe, comparing direct and indirect reconstructions and evaluating the impact of using motion correction.Principal component analysis was used to detect motion and to determine time frames, while STIR's parametric-OSEM was used to perform the motion-corrected direct parametric reconstruction.It was found that the variance in the left temporal lobe decreased when motion correction was performed, and the same was true of direct reconstructions compared to indirect.With SIRF, the entirety of the demonstrated functionality can be performed from a single Matlab or Python script.

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
DOIs	https://doi.org/10.1109/NSSMIC.2018.8824568
Publication status	Published - 1 Nov 2018
Event	2018 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2018 - Sydney, Australia Duration: 10 Nov 2018 → 17 Nov 2018

Conference

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

Access to Document

10.1109/NSSMIC.2018.8824568

Cite this

Brown, R., Thomas, B. A., Rashidnasab, A., Erlandsson, K., Ovtchinnikov, E., Pasca, E., Reader, A., Matthews, J. C., Tsoumpas, C., & Thielemans, K. (2018). Motion-corrected reconstruction of parametric images from dynamic PET data with the Synergistic Image Reconstruction Framework (SIRF). In 2018 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2018 - Proceedings [8824568] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/NSSMIC.2018.8824568

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abstract = "Motion correction has been added to a PET-MR reconstruction tool, SIRF, by incorporating a registration package, NiftyReg. New functionality has been demonstrated in the context of estimating kinetic parameters in the left temporal lobe, comparing direct and indirect reconstructions and evaluating the impact of using motion correction.Principal component analysis was used to detect motion and to determine time frames, while STIR's parametric-OSEM was used to perform the motion-corrected direct parametric reconstruction.It was found that the variance in the left temporal lobe decreased when motion correction was performed, and the same was true of direct reconstructions compared to indirect.With SIRF, the entirety of the demonstrated functionality can be performed from a single Matlab or Python script.",

author = "Richard Brown and Thomas, {Benjamin A.} and Alaleh Rashidnasab and Kjell Erlandsson and Evgueni Ovtchinnikov and Edoardo Pasca and Andrew Reader and Matthews, {Julian C.} and Charalampos Tsoumpas and Kris Thielemans",

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Brown, R, Thomas, BA, Rashidnasab, A, Erlandsson, K, Ovtchinnikov, E, Pasca, E, Reader, A, Matthews, JC, Tsoumpas, C & Thielemans, K 2018, Motion-corrected reconstruction of parametric images from dynamic PET data with the Synergistic Image Reconstruction Framework (SIRF). in 2018 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2018 - Proceedings., 8824568, Institute of Electrical and Electronics Engineers Inc., 2018 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2018, Sydney, Australia, 10/11/2018. https://doi.org/10.1109/NSSMIC.2018.8824568

Motion-corrected reconstruction of parametric images from dynamic PET data with the Synergistic Image Reconstruction Framework (SIRF). / Brown, Richard; Thomas, Benjamin A.; Rashidnasab, Alaleh et al.
2018 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2018 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2018. 8824568.

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

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T1 - Motion-corrected reconstruction of parametric images from dynamic PET data with the Synergistic Image Reconstruction Framework (SIRF)

AU - Brown, Richard

AU - Thomas, Benjamin A.

AU - Rashidnasab, Alaleh

AU - Erlandsson, Kjell

AU - Ovtchinnikov, Evgueni

AU - Pasca, Edoardo

AU - Reader, Andrew

AU - Matthews, Julian C.

AU - Tsoumpas, Charalampos

AU - Thielemans, Kris

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N2 - Motion correction has been added to a PET-MR reconstruction tool, SIRF, by incorporating a registration package, NiftyReg. New functionality has been demonstrated in the context of estimating kinetic parameters in the left temporal lobe, comparing direct and indirect reconstructions and evaluating the impact of using motion correction.Principal component analysis was used to detect motion and to determine time frames, while STIR's parametric-OSEM was used to perform the motion-corrected direct parametric reconstruction.It was found that the variance in the left temporal lobe decreased when motion correction was performed, and the same was true of direct reconstructions compared to indirect.With SIRF, the entirety of the demonstrated functionality can be performed from a single Matlab or Python script.

AB - Motion correction has been added to a PET-MR reconstruction tool, SIRF, by incorporating a registration package, NiftyReg. New functionality has been demonstrated in the context of estimating kinetic parameters in the left temporal lobe, comparing direct and indirect reconstructions and evaluating the impact of using motion correction.Principal component analysis was used to detect motion and to determine time frames, while STIR's parametric-OSEM was used to perform the motion-corrected direct parametric reconstruction.It was found that the variance in the left temporal lobe decreased when motion correction was performed, and the same was true of direct reconstructions compared to indirect.With SIRF, the entirety of the demonstrated functionality can be performed from a single Matlab or Python script.

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M3 - Conference paper

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

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2018 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2018

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Brown R, Thomas BA, Rashidnasab A, Erlandsson K, Ovtchinnikov E, Pasca E et al. Motion-corrected reconstruction of parametric images from dynamic PET data with the Synergistic Image Reconstruction Framework (SIRF). In 2018 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2018 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2018. 8824568 doi: 10.1109/NSSMIC.2018.8824568

Motion-corrected reconstruction of parametric images from dynamic PET data with the Synergistic Image Reconstruction Framework (SIRF)

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