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LIBRIS Formathandbok  (Information om MARC21)
FältnamnIndikatorerMetadata
00005377naa a2200601 4500
001oai:DiVA.org:uu-430223
003SwePub
008210108s2020 | |||||||||||000 ||eng|
009oai:gup.ub.gu.se/300159
0247 a https://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-4302232 URI
0247 a https://doi.org/10.1186/s40658-020-00347-22 DOI
0247 a https://gup.ub.gu.se/publication/3001592 URI
040 a (SwePub)uud (SwePub)gu
041 a engb eng
042 9 SwePub
072 7a ref2 swepub-contenttype
072 7a art2 swepub-publicationtype
1001 a Sousa, João M.u Uppsala universitet,Radiologi4 aut0 (Swepub:uu)joasi889
2451 0a Accuracy and precision of zero-echo-time, single- and multi-atlas attenuation correction for dynamic [11C]PE2I PET-MR brain imaging
264 c 2020-12-28
264 1b Springer Science and Business Media LLC,c 2020
338 a electronic2 rdacarrier
500 a De två första författarna delar förstaförfattarskapet
520 a BACKGROUND: A valid photon attenuation correction (AC) method is instrumental for obtaining quantitatively correct PET images. Integrated PET/MR systems provide no direct information on attenuation, and novel methods for MR-based AC (MRAC) are still under investigation. Evaluations of various AC methods have mainly focused on static brain PET acquisitions. In this study, we determined the validity of three MRAC methods in a dynamic PET/MR study of the brain.METHODS: Nine participants underwent dynamic brain PET/MR scanning using the dopamine transporter radioligand [11C]PE2I. Three MRAC methods were evaluated: single-atlas (Atlas), multi-atlas (MaxProb) and zero-echo-time (ZTE). The 68Ge-transmission data from a previous stand-alone PET scan was used as reference method. Parametric relative delivery (R1) images and binding potential (BPND) maps were generated using cerebellar grey matter as reference region. Evaluation was based on bias in MRAC maps, accuracy and precision of [11C]PE2I BPND and R1 estimates, and [11C]PE2I time-activity curves. BPND was examined for striatal regions and R1 in clusters of regions across the brain.RESULTS: For BPND, ZTE-MRAC showed the highest accuracy (bias < 2%) in striatal regions. Atlas-MRAC exhibited a significant bias in caudate nucleus (- 12%) while MaxProb-MRAC revealed a substantial, non-significant bias in the putamen (9%). R1 estimates had a marginal bias for all MRAC methods (- 1.0-3.2%). MaxProb-MRAC showed the largest intersubject variability for both R1 and BPND. Standardized uptake values (SUV) of striatal regions displayed the strongest average bias for ZTE-MRAC (~ 10%), although constant over time and with the smallest intersubject variability. Atlas-MRAC had highest variation in bias over time (+10 to - 10%), followed by MaxProb-MRAC (+5 to - 5%), but MaxProb showed the lowest mean bias. For the cerebellum, MaxProb-MRAC showed the highest variability while bias was constant over time for Atlas- and ZTE-MRAC.CONCLUSIONS: Both Maxprob- and ZTE-MRAC performed better than Atlas-MRAC when using a 68Ge transmission scan as reference method. Overall, ZTE-MRAC showed the highest precision and accuracy in outcome parameters of dynamic [11C]PE2I PET analysis with use of kinetic modelling.
650 7a MEDICIN OCH HÄLSOVETENSKAPx Klinisk medicinx Neurologi0 (SwePub)302072 hsv//swe
650 7a MEDICAL AND HEALTH SCIENCESx Clinical Medicinex Neurology0 (SwePub)302072 hsv//eng
650 7a MEDICIN OCH HÄLSOVETENSKAPx Klinisk medicinx Radiologi och bildbehandling0 (SwePub)302082 hsv//swe
650 7a MEDICAL AND HEALTH SCIENCESx Clinical Medicinex Radiology, Nuclear Medicine and Medical Imaging0 (SwePub)302082 hsv//eng
653 a Atlas
653 a Binding potential
653 a Dopamine transporter
653 a MRAC
653 a MaxProb
653 a ZTE
653 a rCBF
7001 a Appel, Lieuweu Uppsala universitet,Radiologi4 aut0 (Swepub:uu)lap02157
7001 a Merida, Inés4 aut
7001 a Heckemann, Rolf A.u Gothenburg University,Göteborgs universitet,Institutionen för kliniska vetenskaper, Avdelningen för radiofysik,Institute of Clinical Sciences, Department of Radiation Physics4 aut0 (Swepub:gu)xhecro
7001 a Costes, Nicolas4 aut
7001 a Engström, Mathias4 aut
7001 a Papadimitriou, Stergiosu Uppsala universitet,Landtblom: Neurovetenskap4 aut
7001 a Nyholm, Dagu Uppsala universitet,Landtblom: Neurovetenskap4 aut0 (Swepub:uu)danyh856
7001 a Ahlström, Håkan,d 1953-u Uppsala universitet,Radiologi4 aut0 (Swepub:uu)hakanahl
7001 a Hammers, Alexander4 aut
7001 a Lubberink, Marku Uppsala universitet,Radiologi4 aut0 (Swepub:uu)marklubb
7102 a Uppsala universitetb Radiologi4 org
7730 t EJNMMI Physicsd : Springer Science and Business Media LLCg 7:1q 7:1x 2197-7364
8564 u https://doi.org/10.1186/s40658-020-00347-2y Fulltext
8564 u https://uu.diva-portal.org/smash/get/diva2:1515126/FULLTEXT01.pdfx primaryx Raw objecty fulltext:print
8564 u https://ejnmmiphys.springeropen.com/track/pdf/10.1186/s40658-020-00347-2
8564 8u https://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-430223
8564 8u https://doi.org/10.1186/s40658-020-00347-2
8564 8u https://gup.ub.gu.se/publication/300159

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