Software Open Access


Kornek, Dominik; Berthold, Jonathan; Kögler, Toni

Citation Style Language JSON Export

  "type": "article", 
  "issued": {
    "date-parts": [
  "abstract": "<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=\"\"></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>", 
  "version": "1.0", 
  "language": "eng", 
  "publisher": "Rodare", 
  "DOI": "10.14278/rodare.192", 
  "author": [
      "family": "Kornek, Dominik"
      "family": "Berthold, Jonathan"
      "family": "K\u00f6gler, Toni"
  "id": "192", 
  "title": "SPCI-Reconstruction"
All versions This version
Views 8888
Downloads 88
Data volume 360.2 kB360.2 kB
Unique views 6060
Unique downloads 77


Cite as