Software Open Access
Kornek, Dominik; Berthold, Jonathan; Kögler, Toni
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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> <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> <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> <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> <p>[4] Shepp LA, Vardi Y. Maximum likelihood reconstruction for emission tomography. IEEE Trans Med Imaging. 1982; 1(2):113-22.</p> <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></subfield> </datafield> <datafield tag="700" ind1=" " ind2=" "> <subfield code="a">Berthold, Jonathan</subfield> <subfield code="u">Helmholtz-Zentrum Dresden - Rossendorf</subfield> </datafield> <datafield tag="700" ind1=" " ind2=" "> <subfield code="a">Kögler, Toni</subfield> <subfield code="u">Helmholtz-Zentrum Dresden - Rossendorf</subfield> <subfield code="0">(orcid)0000-0002-9501-0898</subfield> </datafield> </record>
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