SIRF: Synergistic Image Reconstruction Framework-Reference-Cited by-同舟云学术

SIRF: Synergistic Image Reconstruction Framework

Published:2020-04 Issue: Volume:249 Page:107087
ISSN:0010-4655
Container-title:Computer Physics Communications
language:en
Short-container-title:Computer Physics Communications

Author:

Ovtchinnikov Evgueni^ORCID,Brown Richard^ORCID,Kolbitsch Christoph^ORCID,Pasca Edoardo^ORCID,da Costa-Luis Casper^ORCID,Gillman Ashley G.^ORCID,Thomas Benjamin A.^ORCID,Efthimiou Nikos,Mayer Johannes^ORCID,Wadhwa Palak,Ehrhardt Matthias J.^ORCID,Ellis Sam^ORCID,Jørgensen Jakob S.^ORCID,Matthews Julian^ORCID,Prieto Claudia^ORCID,Reader Andrew J.,Tsoumpas Charalampos^ORCID,Turner Martin^ORCID,Atkinson David^ORCID,Thielemans Kris^ORCID

Funder

EPSRC

associated Software Flagship project “A framework for efficient synergistic spatiotemporal reconstruction of PET-MR dynamic data”

CoSeC

Computational Science Centre for Research Communities

’Reconstruction Toolkit for Multichannel CT’ and the network initiative

European Cooperation for Science and Technology Action

German Research Foundation

Medical Research Council

Royal Society Industry Fellowship

Publisher

Elsevier BV

Subject

General Physics and Astronomy,Hardware and Architecture

Reference71 articles.

1. Combined PET/MR: A Technology Becomes Mature

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4. PET/MR Imaging: Current and Emerging Applications;Barthel,2018

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