eprintid: 10131780
rev_number: 14
eprint_status: archive
userid: 608
dir: disk0/10/13/17/80
datestamp: 2021-07-23 10:44:12
lastmod: 2021-09-21 22:09:52
status_changed: 2021-07-23 10:44:12
type: article
metadata_visibility: show
creators_name: Brown, R
creators_name: Kolbitsch, C
creators_name: Delplancke, C
creators_name: Papoutsellis, E
creators_name: Mayer, J
creators_name: Ovtchinnikov, E
creators_name: Pasca, E
creators_name: Neji, R
creators_name: da Costa-Luis, C
creators_name: Gillman, AG
creators_name: Ehrhardt, MJ
creators_name: McClelland, JR
creators_name: Eiben, B
creators_name: Thielemans, K
title: Motion estimation and correction for simultaneous PET/MR using SIRF and CIL
ispublished: pub
divisions: UCL
divisions: B02
divisions: C10
divisions: D17
divisions: FI6
divisions: B04
divisions: C05
divisions: F42
keywords: MR, Motion, PET, SIRF, correction, estimation
note: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
abstract: SIRF is a powerful PET/MR image reconstruction research tool for processing data and developing new algorithms. In this research, new developments to SIRF are presented, with focus on motion estimation and correction. SIRF's recent inclusion of the adjoint of the resampling operator allows gradient propagation through resampling, enabling the MCIR technique. Another enhancement enabled registering and resampling of complex images, suitable for MRI. Furthermore, SIRF's integration with the optimization library CIL enables the use of novel algorithms. Finally, SPM is now supported, in addition to NiftyReg, for registration. Results of MR and PET MCIR reconstructions are presented, using FISTA and PDHG, respectively. These demonstrate the advantages of incorporating motion correction and variational and structural priors. This article is part of the theme issue 'Synergistic tomographic image reconstruction: part 2'.
date: 2021-08-23
date_type: published
official_url: https://doi.org/10.1098/rsta.2020.0208
oa_status: green
full_text_type: other
language: eng
primo: open
primo_central: open_green
verified: verified_manual
elements_id: 1875214
doi: 10.1098/rsta.2020.0208
lyricists_name: Eiben, Bjorn
lyricists_name: McClelland, James
lyricists_name: Thielemans, Kris
lyricists_id: BEIBE76
lyricists_id: JRMCC68
lyricists_id: KTHIE60
actors_name: Thielemans, Kris
actors_id: KTHIE60
actors_role: owner
full_text_status: public
publication: Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences
volume: 379
number: 2204
article_number: 20200208
event_location: England
citation:        Brown, R;    Kolbitsch, C;    Delplancke, C;    Papoutsellis, E;    Mayer, J;    Ovtchinnikov, E;    Pasca, E;                             ... Thielemans, K; + view all <#>        Brown, R;  Kolbitsch, C;  Delplancke, C;  Papoutsellis, E;  Mayer, J;  Ovtchinnikov, E;  Pasca, E;  Neji, R;  da Costa-Luis, C;  Gillman, AG;  Ehrhardt, MJ;  McClelland, JR;  Eiben, B;  Thielemans, K;   - view fewer <#>    (2021)    Motion estimation and correction for simultaneous PET/MR using SIRF and CIL.                   Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences , 379  (2204)    , Article 20200208.  10.1098/rsta.2020.0208 <https://doi.org/10.1098/rsta.2020.0208>.       Green open access   
 
document_url: https://discovery.ucl.ac.uk/id/eprint/10131780/1/SIRF_MC_special_issue.pdf