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Quantitative accuracy of 15O-water cerebral blood flow images based on penalized likelihood reconstruction
Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Surgical Sciences, Radiology.ORCID iD: 0000-0002-1498-1327
Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Surgical Sciences, Radiology.
Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Surgical Sciences, Radiology.
GE Healthcare, Stockholm, Sweden.
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2018 (English)In: European Journal of Nuclear Medicine and Molecular Imaging, ISSN 1619-7070, E-ISSN 1619-7089, Vol. 45, no Supplement 1, p. S94-S95Article in journal, Meeting abstract (Other academic) Published
Place, publisher, year, edition, pages
2018. Vol. 45, no Supplement 1, p. S94-S95
National Category
Radiology, Nuclear Medicine and Medical Imaging
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URN: urn:nbn:se:uu:diva-373336DOI: 10.1007/s00259-018-4148-3ISI: 000449266200165OAI: oai:DiVA.org:uu-373336DiVA, id: diva2:1278424
Conference
31st Annual Congress of the European-Association-of-Nuclear-Medicine (EANM), OCT 13-17, 2018, Dusseldorf, GERMANY
Note

Meeting Abstract: OP-288

Available from: 2019-01-14 Created: 2019-01-14 Last updated: 2019-01-14Bibliographically approved

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Sousa, JoaoAppel, LieuweFang, Xiaotian T.Ahlström, HåkanLubberink, Mark
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Radiology
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Radiology, Nuclear Medicine and Medical Imaging

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