eprintid: 10087274
rev_number: 18
eprint_status: archive
userid: 608
dir: disk0/10/08/72/74
datestamp: 2019-12-05 12:11:50
lastmod: 2021-09-25 22:50:58
status_changed: 2019-12-05 12:11:50
type: proceedings_section
metadata_visibility: show
creators_name: Wadhwa, P
creators_name: Thielemans, K
creators_name: Efthimiou, N
creators_name: Bertolli, O
creators_name: Emond, E
creators_name: Thomas, BA
creators_name: Tohme, M
creators_name: Wangerin, KA
creators_name: Delso, G
creators_name: Hallett, W
creators_name: Gunn, RN
creators_name: Buckley, D
creators_name: Tsoumpas, C
title: Implementation of Image Reconstruction for GE SIGNA PET/MR PET Data in the STIR Library
ispublished: pub
divisions: UCL
divisions: B02
divisions: C10
divisions: D17
divisions: FI6
note: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
abstract: Software for Tomographic Image Reconstruction (STIR: http://stir.sf.net) is an open source C++ library available for reconstruction of emission tomography data. This work aims at the incorporation of the GE SIGNA PET/MR scanner in STIR and enables PET image reconstruction with data corrections. The data extracted from the scanner after an acquisition includes a list of raw data files (emission, normalisation, geometric and well counter calibration (wcc) factors), magnetic resonance attenuation correction (MRAC) images and the scanner-based reconstructions. The listmode (LM) file stores a list of 'prompt' events and the singles per crystal per second. MRAC images from the scanner are used for attenuation correction. The modifications to STIR that allow accurate histogramming of this LM data in the same sinogram organisation as the scanner are also described. This allows reconstruction of acquisition data with all data corrections using STIR, and independent of any software supplied by the manufacturer. The implementations were validated by comparing the histogrammed data, data corrections and final reconstruction using the ordered subset expectation maximisation (OSEM) algorithm with the equivalents from the GE-toolbox, supplied by the manufacturer for the scanner. There is no difference in the histogrammed counts whereas an overall relative difference of 6.7 × 10 -8 % and from 0.01% to 0.86% is seen in the normalisation and randoms correction sinograms respectively. The STIR reconstructed images have similar resolution and quantification but have some residual differences due to wcc factors, decay and deadtime corrections, as well as the offset between PET and MR gantries that will be addressed in future work. This work will enable the use of all current and future STIR algorithms, including penalized image reconstruction, motion correction and direct parametric image estimation, on data from GE SIGNA PET/MR scanners.
date: 2019-09-05
date_type: published
publisher: IEEE
official_url: https://doi.org/10.1109/NSSMIC.2018.8824341
oa_status: green
full_text_type: other
language: eng
primo: open
primo_central: open_green
verified: verified_manual
elements_id: 1709929
doi: 10.1109/NSSMIC.2018.8824341
lyricists_name: Emond, Elise
lyricists_name: Thielemans, Kris
lyricists_name: Thomas, Benjamin
lyricists_id: ECEMO88
lyricists_id: KTHIE60
lyricists_id: BATHO67
actors_name: Thielemans, Kris
actors_id: KTHIE60
actors_role: owner
full_text_status: public
publication: 2018 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2018 - Proceedings
place_of_pub: Sydney, Australia
event_title: 2018 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC)
book_title: 2018 IEEE Nuclear Science Symposium and Medical Imaging Conference Proceedings (NSS/MIC)
citation:        Wadhwa, P;    Thielemans, K;    Efthimiou, N;    Bertolli, O;    Emond, E;    Thomas, BA;    Tohme, M;                         ... Tsoumpas, C; + view all <#>        Wadhwa, P;  Thielemans, K;  Efthimiou, N;  Bertolli, O;  Emond, E;  Thomas, BA;  Tohme, M;  Wangerin, KA;  Delso, G;  Hallett, W;  Gunn, RN;  Buckley, D;  Tsoumpas, C;   - view fewer <#>    (2019)    Implementation of Image Reconstruction for GE SIGNA PET/MR PET Data in the STIR Library.                     In:  2018 IEEE Nuclear Science Symposium and Medical Imaging Conference Proceedings (NSS/MIC).    IEEE: Sydney, Australia.       Green open access   
 
document_url: https://discovery.ucl.ac.uk/id/eprint/10087274/1/IEEE_Conference_Article-MIC_2018-Palak.pdf