000873935 001__ 873935
000873935 005__ 20210130004539.0
000873935 0247_ $$2doi$$a10.1002/mp.14091
000873935 0247_ $$2ISSN$$a0094-2405
000873935 0247_ $$2ISSN$$a1522-8541
000873935 0247_ $$2ISSN$$a2473-4209
000873935 0247_ $$2Handle$$a2128/25626
000873935 0247_ $$2altmetric$$aaltmetric:76122614
000873935 0247_ $$2pmid$$apmid:32052469
000873935 0247_ $$2WOS$$aWOS:000535687600014
000873935 037__ $$aFZJ-2020-01108
000873935 082__ $$a610
000873935 1001_ $$0P:(DE-HGF)0$$aOehmigen, Mark$$b0$$eCorresponding author
000873935 245__ $$aImproving the CT (140 kVp) to PET (511 keV) conversion in PET/MR Hardware Component Attenuation Correction
000873935 260__ $$aCollege Park, Md.$$bAAPM$$c2020
000873935 3367_ $$2DRIVER$$aarticle
000873935 3367_ $$2DataCite$$aOutput Types/Journal article
000873935 3367_ $$0PUB:(DE-HGF)16$$2PUB:(DE-HGF)$$aJournal Article$$bjournal$$mjournal$$s1599657003_20793
000873935 3367_ $$2BibTeX$$aARTICLE
000873935 3367_ $$2ORCID$$aJOURNAL_ARTICLE
000873935 3367_ $$00$$2EndNote$$aJournal Article
000873935 520__ $$aPurposeToday, attenuation correction (AC) of positron emission tomography/magnetic resonance (PET/MR) hardware components is performed by using an established method from PET/CT hybrid imaging. As shown in previous studies, the established mathematical conversion from computed tomography (CT) to PET attenuation coefficients may, however, lead to incorrect results in PET quantification when applied to AC of hardware components in PET/MR. The purpose of this study is to systematically investigate the attenuating properties of various materials and electronic components frequently used in the context of PET/MR hybrid imaging. The study, thus, aims at improving hardware component attenuation correction in PET/MR.Materials and methodsOverall, 38 different material samples were collected; a modular phantom was used to for CT, PET, and PET/MR scanning of all samples. Computed tomography‐scans were acquired with a tube voltage of 140 kVp to determine Hounsfield Units (HU). PET transmission scans were performed with 511 keV to determine linear attenuation coefficients (LAC) of all materials. The attenuation coefficients were plotted to obtain a HU to LAC correlation graph, which was then compared to two established conversions from literature. Hardware attenuation maps of the different materials were created and applied to PET data reconstruction following a phantom validation experiment. From these measurements, PET difference maps were calculated to validate and compare all three conversion methods.ResultsFor each material, the HU and corresponding LAC could be determined and a bi‐linear HU to LAC conversion graph was derived. The corresponding equation was urn:x-wiley:00942405:media:mp14091:mp14091-math-0001 . While the two established conversions lead to a mean quantification PET bias of 4.69% ± 0.27% and −2.84% ± 0.72% in a phantom experiment, PET difference measurements revealed only 0.5 % bias in PET quantification when applying the new conversion resulting from this study.ConclusionsAn optimized method for the conversion of CT to PET attenuation coefficients has been derived by systematic measurement of 38 different materials. In contrast to established methods, the new conversion also considers highly attenuating materials, thus improving attenuation correction of hardware components in PET/MR hybrid imaging.
000873935 536__ $$0G:(DE-HGF)POF3-573$$a573 - Neuroimaging (POF3-573)$$cPOF3-573$$fPOF III$$x0
000873935 588__ $$aDataset connected to CrossRef
000873935 7001_ $$0P:(DE-HGF)0$$aLindemann, Maike E.$$b1
000873935 7001_ $$0P:(DE-Juel1)131797$$aTellmann, Lutz$$b2$$ufzj
000873935 7001_ $$0P:(DE-HGF)0$$aLanz, Titus$$b3
000873935 7001_ $$0P:(DE-HGF)0$$aQuick, Harald H.$$b4
000873935 773__ $$0PERI:(DE-600)1466421-5$$a10.1002/mp.14091$$gp. mp.14091$$n5$$p2116-2127$$tMedical physics$$v47$$x2473-4209$$y2020
000873935 8564_ $$uhttps://juser.fz-juelich.de/record/873935/files/Postprint_Oehmigen%20et%20al%20Improving%20the%20CT%20%28140%20kVp%29%20to%20PET%20%28511%20keV%29%20conversion%20in%20PETMR%20hardwarecomponent%20attenuation%20correction%20-%20PostPrintVersion.pdf$$yOpenAccess
000873935 8564_ $$uhttps://juser.fz-juelich.de/record/873935/files/mp.14091.pdf$$yOpenAccess
000873935 8564_ $$uhttps://juser.fz-juelich.de/record/873935/files/Postprint_Oehmigen%20et%20al%20Improving%20the%20CT%20%28140%20kVp%29%20to%20PET%20%28511%20keV%29%20conversion%20in%20PETMR%20hardwarecomponent%20attenuation%20correction%20-%20PostPrintVersion.pdf?subformat=pdfa$$xpdfa$$yOpenAccess
000873935 8564_ $$uhttps://juser.fz-juelich.de/record/873935/files/mp.14091.pdf?subformat=pdfa$$xpdfa$$yOpenAccess
000873935 909CO $$ooai:juser.fz-juelich.de:873935$$pdnbdelivery$$pdriver$$pVDB$$popen_access$$popenaire
000873935 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)131797$$aForschungszentrum Jülich$$b2$$kFZJ
000873935 9131_ $$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$$x0
000873935 9141_ $$y2020
000873935 915__ $$0StatID:(DE-HGF)0200$$2StatID$$aDBCoverage$$bSCOPUS
000873935 915__ $$0StatID:(DE-HGF)1030$$2StatID$$aDBCoverage$$bCurrent Contents - Life Sciences
000873935 915__ $$0LIC:(DE-HGF)CCBY4$$2HGFVOC$$aCreative Commons Attribution CC BY 4.0
000873935 915__ $$0StatID:(DE-HGF)0600$$2StatID$$aDBCoverage$$bEbsco Academic Search
000873935 915__ $$0StatID:(DE-HGF)0100$$2StatID$$aJCR$$bMED PHYS : 2017
000873935 915__ $$0StatID:(DE-HGF)0150$$2StatID$$aDBCoverage$$bWeb of Science Core Collection
000873935 915__ $$0StatID:(DE-HGF)0110$$2StatID$$aWoS$$bScience Citation Index
000873935 915__ $$0StatID:(DE-HGF)0111$$2StatID$$aWoS$$bScience Citation Index Expanded
000873935 915__ $$0StatID:(DE-HGF)9900$$2StatID$$aIF < 5
000873935 915__ $$0StatID:(DE-HGF)1110$$2StatID$$aDBCoverage$$bCurrent Contents - Clinical Medicine
000873935 915__ $$0StatID:(DE-HGF)0510$$2StatID$$aOpenAccess
000873935 915__ $$0StatID:(DE-HGF)0030$$2StatID$$aPeer Review$$bASC
000873935 915__ $$0StatID:(DE-HGF)0300$$2StatID$$aDBCoverage$$bMedline
000873935 915__ $$0StatID:(DE-HGF)0320$$2StatID$$aDBCoverage$$bPubMed Central
000873935 915__ $$0StatID:(DE-HGF)0199$$2StatID$$aDBCoverage$$bClarivate Analytics Master Journal List
000873935 9201_ $$0I:(DE-Juel1)INM-4-20090406$$kINM-4$$lPhysik der Medizinischen Bildgebung$$x0
000873935 980__ $$ajournal
000873935 980__ $$aVDB
000873935 980__ $$aUNRESTRICTED
000873935 980__ $$aI:(DE-Juel1)INM-4-20090406
000873935 9801_ $$aFullTexts