000908202 001__ 908202
000908202 005__ 20220621190117.0
000908202 0247_ $$2doi$$a10.1109/NSSMIC.2017.8532870
000908202 037__ $$aFZJ-2022-02453
000908202 1001_ $$0P:(DE-HGF)0$$aKops, E. Rota$$b0
000908202 1112_ $$a2017 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC)$$cAtlanta$$d2017-10-21 - 2017-10-28$$wGA
000908202 245__ $$aAttenuation Correction of Cerebellum in PET/MR Data
000908202 260__ $$c2017
000908202 3367_ $$0PUB:(DE-HGF)1$$2PUB:(DE-HGF)$$aAbstract$$babstract$$mabstract$$s1655806508_15481
000908202 3367_ $$033$$2EndNote$$aConference Paper
000908202 3367_ $$2BibTeX$$aINPROCEEDINGS
000908202 3367_ $$2DRIVER$$aconferenceObject
000908202 3367_ $$2DataCite$$aOutput Types/Conference Abstract
000908202 3367_ $$2ORCID$$aOTHER
000908202 520__ $$aAbstract:Most approaches of modelling neuroreceptor PET studies apply the cerebellum as reference area. Therefore, it is mandatory that the respective attenuation correction (AC) method for reconstructing the emission data is most appropriate regarding cerebellar areas. PET data from PET/MR scanners require alternative AC methods. These ought to be tested with respect to the performance within the cerebellum. This study aimed to compare various AC methods for PET/MR data focussing on the cerebellum. Data of 16 subjects undergoing 18 FDG imaging in the Siemens 3TMR-BrainPET scanner and a whole head CT scan at the same day were used. The latter were transformed to CT-based attenuation maps (AM CT ). The MR images were used to obtain AMs using the Boston-MGH method (AM MGH ), the London-UCL method (AM UCL ), the CT-template-based (AM CT-Juel ) and Tx-template-based (AM Tx-Juel ) Juelich methods. BrainPET emission data were reconstructed with the five AM s . Using the SUIT tool the cerebellum was extracted from the MR images and normalized to a cerebellum VOI atlas. The cerebellum of the PET data was extracted by applying the same parameters. Correlation plots with regression equations, coefficients of determination R 2 , normalized and absolute normalized errors (NErr) between AM CT and the other four AM s were calculated. The values of cerebellar NErr varied to a high extent between the four AC methods. In one subject AM MGH showed the lowest NErr (3.03±1.60%), in three participants the AMUCL performed best (NErr from -0.13±2.33% to 0.91±2.93%), in three others the AM Tx-Juel had the best results (NErr from -1.24±3.01% to 0.86±2.07%), while for the remaining seven subjects the AM CT-Juel performed best (NErr from -2.08±0.94% to 7.98±3.43%). Our results demonstrate that the quantitation of radiotracer uptake in the cerebellum is very susceptible to the respective attenuation correction applied to the PET data. This, in turn, has to be considered in neuroreceptor modelling studies which rely on the cerebellum as reference.
000908202 536__ $$0G:(DE-HGF)POF4-5253$$a5253 - Neuroimaging (POF4-525)$$cPOF4-525$$fPOF IV$$x0
000908202 588__ $$aDataset connected to CrossRef Conference
000908202 7001_ $$0P:(DE-Juel1)132313$$aHautzel, H.$$b1
000908202 7001_ $$0P:(DE-Juel1)131768$$aHerzog, H.$$b2$$ufzj
000908202 7001_ $$0P:(DE-Juel1)164254$$aLerche, C.$$b3$$ufzj
000908202 7001_ $$0P:(DE-Juel1)131794$$aShah, N. J.$$b4$$ufzj
000908202 773__ $$a10.1109/NSSMIC.2017.8532870
000908202 909CO $$ooai:juser.fz-juelich.de:908202$$pVDB
000908202 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-HGF)0$$aForschungszentrum Jülich$$b0$$kFZJ
000908202 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)131768$$aForschungszentrum Jülich$$b2$$kFZJ
000908202 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)164254$$aForschungszentrum Jülich$$b3$$kFZJ
000908202 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)131794$$aForschungszentrum Jülich$$b4$$kFZJ
000908202 9131_ $$0G:(DE-HGF)POF4-525$$1G:(DE-HGF)POF4-520$$2G:(DE-HGF)POF4-500$$3G:(DE-HGF)POF4$$4G:(DE-HGF)POF$$9G:(DE-HGF)POF4-5253$$aDE-HGF$$bKey Technologies$$lNatural, Artificial and Cognitive Information Processing$$vDecoding Brain Organization and Dysfunction$$x0
000908202 9201_ $$0I:(DE-Juel1)INM-4-20090406$$kINM-4$$lPhysik der Medizinischen Bildgebung$$x0
000908202 9201_ $$0I:(DE-Juel1)INM-11-20170113$$kINM-11$$lJara-Institut Quantum Information$$x1
000908202 9201_ $$0I:(DE-Juel1)VDB1046$$kJARA-BRAIN$$lJülich-Aachen Research Alliance - Translational Brain Medicine$$x2
000908202 980__ $$aabstract
000908202 980__ $$aVDB
000908202 980__ $$aI:(DE-Juel1)INM-4-20090406
000908202 980__ $$aI:(DE-Juel1)INM-11-20170113
000908202 980__ $$aI:(DE-Juel1)VDB1046
000908202 980__ $$aUNRESTRICTED