SIRF: Synergistic Image Reconstruction Framework
作者: Evgueni OvtchinnikovRichard BrownChristoph KolbitschEdoardo PascaCasper da Costa-LuisAshley G. GillmanBenjamin A. ThomasNikos EfthimiouJohannes MayerPalak WadhwaMatthias J. EhrhardtSam EllisJakob S. JørgensenJulian MatthewsClaudia PrietoAndrew J. ReaderCharalampos TsoumpasMartin TurnerDavid AtkinsonKris Thielemans
作者单位: 1Scientific Computing Department, Rutherford-Appleton Laboratory, UK Research and Innovation, Harwell Campus, Didcot OX11 0QX, UK
2Institute of Nuclear Medicine, University College London, 235 Euston Rd, London NW1 2BU, UK
3Physikalisch-Technische Bundesanstalt (PTB), Abbestrasse 2-12, Berlin D-10587, Germany
4School of Biomedical Engineering & Imaging Sciences, King’s College London, Lambeth Wing, St. Thomas’ Hospital, Westminster Bridge Road, London SE1 7EH, UK
5Australian e-Health Research Centre, CSIRO, Brisbane, Queensland 4029, Australia
6PET Research Centre, School of Health Sciences, University of Hull, Hull HU6 7RX, UK
7Biomedical Imaging Science Department, University of Leeds, Leeds LS2 9JT, UK
8Invicro London, Du Cane Rd, London W12 0NN, UK
9Institute for Mathematical Innovation, University of Bath, Convocation Ave, Bath BA2 7JU, UK
10Department of Mathematics, The University of Manchester, Oxford Road, Manchester M13 9PL, UK
11Division of Neuroscience and Experimental Psychology, The University of M
刊名: Computer Physics Communications, 2020, Vol.249
来源数据库: Elsevier Journal
DOI: 10.1016/j.cpc.2019.107087
关键词: Image reconstructionPET-MRMulti-modalityMedical imagingOpen-source software
原始语种摘要: Abstract(#br)The combination of positron emission tomography (PET) with magnetic resonance (MR) imaging opens the way to more accurate diagnosis and improved patient management. At present, the data acquired by PET-MR scanners are essentially processed separately, but the opportunity to improve accuracy of the tomographic reconstruction via synergy of the two imaging techniques is an active area of research.(#br)In this paper, we present Release 2.1.0 of the CCP-PETMR Synergistic Image Reconstruction Framework (SIRF) software suite, providing an open-source software platform for efficient implementation and validation of novel reconstruction algorithms. SIRF provides user-friendly Python and MATLAB interfaces built on top of C++ libraries. SIRF uses advanced PET and MR reconstruction...
全文获取路径: Elsevier  (合作)
影响因子:3.078 (2012)

  • reconstruction 复原
  • software 软件
  • community 群落
  • registration 记录
  • imaging 图像形成
  • package 外壳
  • intuitive 直观的
  • users 使用者
  • scanner 扫描设备
  • existing 现行