January 17, 2020 Software Open Access

Kornek, Dominik; Berthold, Jonathan; Kögler, Toni

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{
  "inLanguage": {
    "@type": "Language", 
    "alternateName": "eng", 
    "name": "English"
  }, 
  "name": "SPCI-Reconstruction", 
  "version": "1.0", 
  "@type": "SoftwareSourceCode", 
  "identifier": "https://doi.org/10.14278/rodare.192", 
  "datePublished": "2020-01-17", 
  "license": "https://creativecommons.org/licenses/by/4.0/legalcode", 
  "keywords": [
    "single plane compton imaging", 
    "compton camera", 
    "image reconstruction", 
    "maximum-likelihood expectation-maximization", 
    "origin ensemble", 
    "nuclear medicine", 
    "range verification in particle therapy"
  ], 
  "@context": "https://schema.org/", 
  "@id": "https://doi.org/10.14278/rodare.192", 
  "description": "<p>Single plane Compton imaging (SPCI) is a novel approach to medical imaging of gamma radiation [1]. The possible range of applications includes nuclear imaging and range verification in proton therapy. For the purpose of image reconstruction, a software tool written in ROOT [2] and named SPCI-Reconstruction [3] has been developed. The implementation features the well-established MLEM algorithm for binned data [4] as well as a Monte-Carlo based algorithm called Origin Ensemble [5]. Given a precalculated system matrix and a file containing the measurements, the emission densities of the gamma radiation source can be backprojected into a voxel-based image space.</p>\n\n<p>[1] Pausch G et al. A novel scheme of compton imaging for nuclear medicine. 2016 IEEE Nuclear Science Symposium, Medical Imaging Conference and Room-Temperature Semiconductor Detector Workshop (NSS/MIC/RTSD).</p>\n\n<p>[2] CERN. ROOT &ndash; Data Analysis Framework. Release 6.12/04 - 2017-12-13. https://<a href=\"http://root.cern.ch/content/release-61204\">root.cern.ch/content/release-61204</a>.</p>\n\n<p>[3] Kornek D. Anwendung von Maximum-Likelihood Expectation-Maximization und Origin Ensemble zur Rekonstruktion von Aktivit&auml;tsverteilungen beim Single Plane Compton Imaging (SPCI). Master&#39;s thesis. TU Dresden. 2019.</p>\n\n<p>[4] Shepp LA, Vardi Y. Maximum likelihood reconstruction for emission tomography. IEEE Trans Med Imaging. 1982; 1(2):113-22.</p>\n\n<p>[5] Sitek A. Representation of photon limited data in emission tomography using origin ensembles. Phys Med Biol. 2008 June; 53(12):3201-3216.</p>", 
  "creator": [
    {
      "@type": "Person", 
      "name": "Kornek, Dominik", 
      "affiliation": "OncoRay, TU Dresden"
    }, 
    {
      "@type": "Person", 
      "name": "Berthold, Jonathan", 
      "affiliation": "Helmholtz-Zentrum Dresden - Rossendorf"
    }, 
    {
      "@type": "Person", 
      "name": "K\u00f6gler, Toni", 
      "affiliation": "Helmholtz-Zentrum Dresden - Rossendorf", 
      "@id": "https://orcid.org/0000-0002-9501-0898"
    }
  ], 
  "sameAs": [
    "https://github.com/dkornek/SPCI-Reconstruction", 
    "https://gitlab.hzdr.de/fwmp/invivodos/SPCI_ReCo", 
    "https://www.hzdr.de/publications/Publ-30631"
  ], 
  "url": "https://rodare.hzdr.de/record/192"
}