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A multicomponent T2 relaxometry algorithm for myelin water imaging of the brain
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Systems and Control. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Automatic control. (Biomedical systems)
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Systems and Control. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Automatic control. (Signal processing)
Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Surgical Sciences, Radiology.
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Systems and Control. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Automatic control. (Biomedical systems)
2016 (English)In: Magnetic Resonance in Medicine, ISSN 0740-3194, E-ISSN 1522-2594, Vol. 75, no 1, 390-402 p.Article in journal (Refereed) Published
Place, publisher, year, edition, pages
2016. Vol. 75, no 1, 390-402 p.
Keyword [en]
multicomponent T2 relaxometry, estimation algorithm, myelin water fraction, in vivo brain
National Category
Signal Processing Radiology, Nuclear Medicine and Medical Imaging
Identifiers
URN: urn:nbn:se:uu:diva-237160DOI: 10.1002/mrm.25583ISI: 000367739200040PubMedID: 25604436OAI: oai:DiVA.org:uu-237160DiVA: diva2:766791
Projects
SysTEAM (ERC)
Funder
EU, European Research Council, 247035
Available from: 2015-01-21 Created: 2014-11-28 Last updated: 2017-12-05Bibliographically approved

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Björk, MarcusZachariah, DaveKullberg, JoelStoica, Peter

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