Software Open Access
Kornek, Dominik;
Berthold, Jonathan;
Kögler, Toni
{
"author": [
{
"family": "Kornek, Dominik"
},
{
"family": "Berthold, Jonathan"
},
{
"family": "K\u00f6gler, Toni"
}
],
"language": "eng",
"id": "192",
"title": "SPCI-Reconstruction",
"version": "1.0",
"issued": {
"date-parts": [
[
2020,
1,
17
]
]
},
"publisher": "Rodare",
"type": "article",
"DOI": "10.14278/rodare.192",
"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 – 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 Aktivitätsverteilungen beim Single Plane Compton Imaging (SPCI). Master'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>"
}
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