Software Open Access
Kornek, Dominik; Berthold, Jonathan; Kögler, Toni
<?xml version='1.0' encoding='utf-8'?> <resource xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns="http://datacite.org/schema/kernel-4" xsi:schemaLocation="http://datacite.org/schema/kernel-4 http://schema.datacite.org/meta/kernel-4.1/metadata.xsd"> <identifier identifierType="DOI">10.14278/rodare.192</identifier> <creators> <creator> <creatorName>Kornek, Dominik</creatorName> <givenName>Dominik</givenName> <familyName>Kornek</familyName> <affiliation>OncoRay, TU Dresden</affiliation> </creator> <creator> <creatorName>Berthold, Jonathan</creatorName> <givenName>Jonathan</givenName> <familyName>Berthold</familyName> <affiliation>Helmholtz-Zentrum Dresden - Rossendorf</affiliation> </creator> <creator> <creatorName>Kögler, Toni</creatorName> <givenName>Toni</givenName> <familyName>Kögler</familyName> <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0002-9501-0898</nameIdentifier> <affiliation>Helmholtz-Zentrum Dresden - Rossendorf</affiliation> </creator> </creators> <titles> <title>SPCI-Reconstruction</title> </titles> <publisher>Rodare</publisher> <publicationYear>2020</publicationYear> <subjects> <subject>single plane compton imaging</subject> <subject>compton camera</subject> <subject>image reconstruction</subject> <subject>maximum-likelihood expectation-maximization</subject> <subject>origin ensemble</subject> <subject>nuclear medicine</subject> <subject>range verification in particle therapy</subject> </subjects> <dates> <date dateType="Issued">2020-01-17</date> </dates> <language>en</language> <resourceType resourceTypeGeneral="Software"/> <alternateIdentifiers> <alternateIdentifier alternateIdentifierType="url">https://rodare.hzdr.de/record/192</alternateIdentifier> </alternateIdentifiers> <relatedIdentifiers> <relatedIdentifier relatedIdentifierType="URL" relationType="IsIdenticalTo">https://github.com/dkornek/SPCI-Reconstruction</relatedIdentifier> <relatedIdentifier relatedIdentifierType="URL" relationType="IsCitedBy">https://nbn-resolving.org/urn:nbn:de:bsz:14-qucosa2-376408</relatedIdentifier> <relatedIdentifier relatedIdentifierType="URL" relationType="IsIdenticalTo">https://gitlab.hzdr.de/fwmp/invivodos/SPCI_ReCo</relatedIdentifier> <relatedIdentifier relatedIdentifierType="URL" relationType="IsIdenticalTo">https://www.hzdr.de/publications/Publ-30631</relatedIdentifier> <relatedIdentifier relatedIdentifierType="DOI" relationType="IsVersionOf">10.14278/rodare.191</relatedIdentifier> <relatedIdentifier relatedIdentifierType="URL" relationType="IsPartOf">https://rodare.hzdr.de/communities/health</relatedIdentifier> <relatedIdentifier relatedIdentifierType="URL" relationType="IsPartOf">https://rodare.hzdr.de/communities/rodare</relatedIdentifier> </relatedIdentifiers> <version>1.0</version> <rightsList> <rights rightsURI="https://creativecommons.org/licenses/by/4.0/legalcode">Creative Commons Attribution 4.0 International</rights> <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights> </rightsList> <descriptions> <description descriptionType="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> <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></description> <description descriptionType="Other">{"references": ["https://nbn-resolving.org/urn:nbn:de:bsz:14-qucosa2-376408"]}</description> </descriptions> </resource>
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