001     17433
005     20200702121610.0
024 7 _ |2 pmid
|a pmid:21802966
024 7 _ |2 DOI
|a 10.1016/j.jmr.2011.07.004
024 7 _ |2 WOS
|a WOS:000294750500026
037 _ _ |a PreJuSER-17433
041 _ _ |a eng
082 _ _ |a 550
084 _ _ |2 WoS
|a Biochemical Research Methods
084 _ _ |2 WoS
|a Physics, Atomic, Molecular & Chemical
084 _ _ |2 WoS
|a Spectroscopy
100 1 _ |a Spindler, N.
|b 0
|u FZJ
|0 P:(DE-Juel1)VDB70181
245 _ _ |a NMR velocimetry with 13-interval stimulated echo multi-slice imaging in natural porous media under low flow rates
260 _ _ |a Amsterdam [u.a.]
|b Elsevier
|c 2011
300 _ _ |a 216 - 223
336 7 _ |a Journal Article
|0 PUB:(DE-HGF)16
|2 PUB:(DE-HGF)
336 7 _ |a Output Types/Journal article
|2 DataCite
336 7 _ |a Journal Article
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336 7 _ |a ARTICLE
|2 BibTeX
336 7 _ |a JOURNAL_ARTICLE
|2 ORCID
336 7 _ |a article
|2 DRIVER
440 _ 0 |a Journal of Magnetic Resonance
|x 1090-7807
|0 9881
|y 1
|v 212
500 _ _ |3 POF3_Assignment on 2016-02-29
500 _ _ |a We gratefully acknowledge financial support by German Academic Exchange Service (DAAD), the Virtual Institute of Portable NMR funded by the Helmholtz Association (HGF) as well as the New Zealand Foundation for Research Science and Technology.
520 _ _ |a Characterization and quantification of root water uptake processes play a key role in understanding and managing the effects of global climate change on agricultural production and ecosystem dynamics. Part of this understanding is related to the flow of water towards plant roots in soils. In this study we demonstrate for the first time, to our knowledge, that fluid flow in the voids of the pore space of a model soil system (natural sand) can be detected and mapped to an NMR image for mean flows as low as 0.06 mm/s even under the influence of internal magnetic field gradients. To accomplish this we combined multi-slice imaging with a 13-interval pulse sequence to the NMR pulse sequence 13-interval stimulated echo multi-slice imaging (13-interval STEMSI). The result is a largely reduced influence of the internal magnetic field gradients, leading to an improved signal-to-noise ratio which in turn enables one to acquire velocity maps where conventional stimulated echo methods fail.
536 _ _ |a Terrestrische Umwelt
|c P24
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588 _ _ |a Dataset connected to Web of Science, Pubmed
650 _ 2 |2 MeSH
|a Algorithms
650 _ 2 |2 MeSH
|a Artifacts
650 _ 2 |2 MeSH
|a Calibration
650 _ 2 |2 MeSH
|a Computer Simulation
650 _ 2 |2 MeSH
|a Electromagnetic Fields
650 _ 2 |2 MeSH
|a Image Processing, Computer-Assisted
650 _ 2 |2 MeSH
|a Magnetic Resonance Imaging: methods
650 _ 2 |2 MeSH
|a Normal Distribution
650 _ 2 |2 MeSH
|a Plant Roots: metabolism
650 _ 2 |2 MeSH
|a Porosity
650 _ 2 |2 MeSH
|a Signal-To-Noise Ratio
650 _ 2 |2 MeSH
|a Silicon Dioxide
650 _ 2 |2 MeSH
|a Soil: analysis
650 _ 2 |2 MeSH
|a Water: metabolism
650 _ 7 |0 0
|2 NLM Chemicals
|a Soil
650 _ 7 |0 7631-86-9
|2 NLM Chemicals
|a Silicon Dioxide
650 _ 7 |0 7732-18-5
|2 NLM Chemicals
|a Water
650 _ 7 |a J
|2 WoSType
653 2 0 |2 Author
|a NMR flow mapping
653 2 0 |2 Author
|a Natural porous media
653 2 0 |2 Author
|a Internal magnetic field gradients
700 1 _ |a Galvosas, P.
|b 1
|0 P:(DE-HGF)0
700 1 _ |a Pohlmeier, A.
|b 2
|u FZJ
|0 P:(DE-Juel1)VDB1270
700 1 _ |a Vereecken, H.
|b 3
|u FZJ
|0 P:(DE-Juel1)129549
773 _ _ |a 10.1016/j.jmr.2011.07.004
|g Vol. 212, p. 216 - 223
|p 216 - 223
|q 212<216 - 223
|0 PERI:(DE-600)1469665-4
|t Journal of magnetic resonance
|v 212
|y 2011
|x 1090-7807
856 7 _ |u http://dx.doi.org/10.1016/j.jmr.2011.07.004
909 C O |o oai:juser.fz-juelich.de:17433
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913 1 _ |k P24
|v Terrestrische Umwelt
|l Terrestrische Umwelt
|b Erde und Umwelt
|0 G:(DE-Juel1)FUEK407
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913 2 _ |a DE-HGF
|b Marine, Küsten- und Polare Systeme
|l Terrestrische Umwelt
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914 1 _ |y 2011
915 _ _ |0 StatID:(DE-HGF)0010
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