000888775 001__ 888775 000888775 005__ 20250701125923.0 000888775 0247_ $$2doi$$a10.1088/2399-6528/abd1c3 000888775 0247_ $$2Handle$$a2128/27335 000888775 0247_ $$2WOS$$aWOS:000599481400001 000888775 037__ $$aFZJ-2020-05204 000888775 082__ $$a530 000888775 1001_ $$0P:(DE-Juel1)176218$$aTalalwa, Lotfi$$b0$$eCorresponding author 000888775 245__ $$aRadiological characteristics of a new experimental rubber elastomeric polymer used in three-dimensional printing with different infill densities and patterns 000888775 260__ $$aPhiladelphia, PA$$bIOP Publishing Ltd.$$c2020 000888775 3367_ $$2DRIVER$$aarticle 000888775 3367_ $$2DataCite$$aOutput Types/Journal article 000888775 3367_ $$0PUB:(DE-HGF)16$$2PUB:(DE-HGF)$$aJournal Article$$bjournal$$mjournal$$s1615284956_3541 000888775 3367_ $$2BibTeX$$aARTICLE 000888775 3367_ $$2ORCID$$aJOURNAL_ARTICLE 000888775 3367_ $$00$$2EndNote$$aJournal Article 000888775 520__ $$aThe objective of this study was to investigate new 3D printable materials, namely PORO-LAY series in both solid and flexible forms, on behalf of their radiological properties by measuring their Hounsfield units (HUs) values at varying infill densities, different infill structures and several kinds of fluids in order to assess their suitability as tissue mimicking materials (TMMs) for phantom applications. In this study, it was found that PORO-LAY materials can be used to achieve low and high values of HU ranges from -990 to +950 depending on their infill density and the filling fluids. In addition, PORO-LAY materials have an acceptable dimensional stability and dimensional accuracy in their solid and flexible forms. The results also indicate that the shape of infill pattern influences the values of HU with percentage difference ranges from 3 to 33 % depending on the selected infill structure. The results of this study showed that PORO-LAY materials were feasible to be used as TMMs for CT and PET/CT applications. 000888775 536__ $$0G:(DE-HGF)POF3-573$$a573 - Neuroimaging (POF3-573)$$cPOF3-573$$fPOF III$$x0 000888775 588__ $$aDataset connected to CrossRef 000888775 7001_ $$0P:(DE-Juel1)142196$$aNatour, Ghaleb$$b1 000888775 7001_ $$0P:(DE-Juel1)131672$$aBauer, Andreas$$b2 000888775 7001_ $$0P:(DE-Juel1)177611$$aDrzezga, Alexander$$b3 000888775 7001_ $$0P:(DE-Juel1)133864$$aBeer, Simone$$b4$$eCorresponding author 000888775 773__ $$0PERI:(DE-600)2905152-6$$a10.1088/2399-6528/abd1c3$$n12$$p125006$$tJournal of physics communications$$v4$$x2399-6528$$y2020 000888775 8564_ $$uhttps://juser.fz-juelich.de/record/888775/files/8164649_0.pdf 000888775 8564_ $$uhttps://juser.fz-juelich.de/record/888775/files/Talalwa_2020_J._Phys._Commun._4_125006.pdf$$yOpenAccess 000888775 8767_ $$88164649$$92020-12-11$$d2020-12-21$$eAPC$$jZahlung erfolgt$$zBelegnummer 1200161204 000888775 909CO $$ooai:juser.fz-juelich.de:888775$$pdnbdelivery$$popenCost$$pVDB$$pdriver$$pOpenAPC$$popen_access$$popenaire 000888775 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)176218$$aForschungszentrum Jülich$$b0$$kFZJ 000888775 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)142196$$aForschungszentrum Jülich$$b1$$kFZJ 000888775 9101_ $$0I:(DE-588b)36225-6$$6P:(DE-Juel1)142196$$aRWTH Aachen$$b1$$kRWTH 000888775 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)131672$$aForschungszentrum Jülich$$b2$$kFZJ 000888775 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)177611$$aForschungszentrum Jülich$$b3$$kFZJ 000888775 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)133864$$aForschungszentrum Jülich$$b4$$kFZJ 000888775 9131_ $$0G:(DE-HGF)POF3-573$$1G:(DE-HGF)POF3-570$$2G:(DE-HGF)POF3-500$$3G:(DE-HGF)POF3$$4G:(DE-HGF)POF$$aDE-HGF$$bKey Technologies$$lDecoding the Human Brain$$vNeuroimaging$$x0 000888775 9132_ $$0G:(DE-HGF)POF4-899$$1G:(DE-HGF)POF4-890$$2G:(DE-HGF)POF4-800$$3G:(DE-HGF)POF4$$4G:(DE-HGF)POF$$aDE-HGF$$bProgrammungebundene Forschung$$lohne Programm$$vohne Topic$$x0 000888775 9141_ $$y2020 000888775 915__ $$0StatID:(DE-HGF)0200$$2StatID$$aDBCoverage$$bSCOPUS$$d2020-09-08 000888775 915__ $$0LIC:(DE-HGF)CCBY4$$2HGFVOC$$aCreative Commons Attribution CC BY 4.0 000888775 915__ $$0StatID:(DE-HGF)0112$$2StatID$$aWoS$$bEmerging Sources Citation Index$$d2020-09-08 000888775 915__ $$0StatID:(DE-HGF)0501$$2StatID$$aDBCoverage$$bDOAJ Seal$$d2020-09-08 000888775 915__ $$0StatID:(DE-HGF)0500$$2StatID$$aDBCoverage$$bDOAJ$$d2020-09-08 000888775 915__ $$0StatID:(DE-HGF)0150$$2StatID$$aDBCoverage$$bWeb of Science Core Collection$$d2020-09-08 000888775 915__ $$0StatID:(DE-HGF)0510$$2StatID$$aOpenAccess 000888775 915__ $$0StatID:(DE-HGF)0030$$2StatID$$aPeer Review$$bDOAJ : Blind peer review$$d2020-09-08 000888775 915__ $$0StatID:(DE-HGF)0561$$2StatID$$aArticle Processing Charges$$d2020-09-08 000888775 915__ $$0StatID:(DE-HGF)0310$$2StatID$$aDBCoverage$$bNCBI Molecular Biology Database$$d2020-09-08 000888775 915__ $$0StatID:(DE-HGF)0700$$2StatID$$aFees$$d2020-09-08 000888775 915__ $$0StatID:(DE-HGF)0199$$2StatID$$aDBCoverage$$bClarivate Analytics Master Journal List$$d2020-09-08 000888775 920__ $$lyes 000888775 9201_ $$0I:(DE-Juel1)ZEA-1-20090406$$kZEA-1$$lZentralinstitut für Technologie$$x0 000888775 9201_ $$0I:(DE-Juel1)INM-2-20090406$$kINM-2$$lMolekulare Organisation des Gehirns$$x1 000888775 9801_ $$aAPC 000888775 9801_ $$aFullTexts 000888775 980__ $$ajournal 000888775 980__ $$aVDB 000888775 980__ $$aUNRESTRICTED 000888775 980__ $$aI:(DE-Juel1)ZEA-1-20090406 000888775 980__ $$aI:(DE-Juel1)INM-2-20090406 000888775 980__ $$aAPC 000888775 981__ $$aI:(DE-Juel1)ITE-20250108