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000017433 0247_ $$2DOI$$a10.1016/j.jmr.2011.07.004
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000017433 041__ $$aeng
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000017433 084__ $$2WoS$$aBiochemical Research Methods
000017433 084__ $$2WoS$$aPhysics, Atomic, Molecular & Chemical
000017433 084__ $$2WoS$$aSpectroscopy
000017433 1001_ $$0P:(DE-Juel1)VDB70181$$aSpindler, N.$$b0$$uFZJ
000017433 245__ $$aNMR velocimetry with 13-interval stimulated echo multi-slice imaging in natural porous media under low flow rates
000017433 260__ $$aAmsterdam [u.a.]$$bElsevier$$c2011
000017433 300__ $$a216 - 223
000017433 3367_ $$0PUB:(DE-HGF)16$$2PUB:(DE-HGF)$$aJournal Article
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000017433 440_0 $$09881$$aJournal of Magnetic Resonance$$v212$$x1090-7807$$y1
000017433 500__ $$3POF3_Assignment on 2016-02-29
000017433 500__ $$aWe 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.
000017433 520__ $$aCharacterization and quantification of root water uptake processes play a key role in understanding and managing the effects of global climate change on agricultural production and ecosystem dynamics. Part of this understanding is related to the flow of water towards plant roots in soils. In this study we demonstrate for the first time, to our knowledge, that fluid flow in the voids of the pore space of a model soil system (natural sand) can be detected and mapped to an NMR image for mean flows as low as 0.06 mm/s even under the influence of internal magnetic field gradients. To accomplish this we combined multi-slice imaging with a 13-interval pulse sequence to the NMR pulse sequence 13-interval stimulated echo multi-slice imaging (13-interval STEMSI). The result is a largely reduced influence of the internal magnetic field gradients, leading to an improved signal-to-noise ratio which in turn enables one to acquire velocity maps where conventional stimulated echo methods fail.
000017433 536__ $$0G:(DE-Juel1)FUEK407$$2G:(DE-HGF)$$aTerrestrische Umwelt$$cP24$$x0
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000017433 650_2 $$2MeSH$$aAlgorithms
000017433 650_2 $$2MeSH$$aArtifacts
000017433 650_2 $$2MeSH$$aCalibration
000017433 650_2 $$2MeSH$$aComputer Simulation
000017433 650_2 $$2MeSH$$aElectromagnetic Fields
000017433 650_2 $$2MeSH$$aImage Processing, Computer-Assisted
000017433 650_2 $$2MeSH$$aMagnetic Resonance Imaging: methods
000017433 650_2 $$2MeSH$$aNormal Distribution
000017433 650_2 $$2MeSH$$aPlant Roots: metabolism
000017433 650_2 $$2MeSH$$aPorosity
000017433 650_2 $$2MeSH$$aSignal-To-Noise Ratio
000017433 650_2 $$2MeSH$$aSilicon Dioxide
000017433 650_2 $$2MeSH$$aSoil: analysis
000017433 650_2 $$2MeSH$$aWater: metabolism
000017433 650_7 $$00$$2NLM Chemicals$$aSoil
000017433 650_7 $$07631-86-9$$2NLM Chemicals$$aSilicon Dioxide
000017433 650_7 $$07732-18-5$$2NLM Chemicals$$aWater
000017433 650_7 $$2WoSType$$aJ
000017433 65320 $$2Author$$aNMR flow mapping
000017433 65320 $$2Author$$aNatural porous media
000017433 65320 $$2Author$$aInternal magnetic field gradients
000017433 7001_ $$0P:(DE-HGF)0$$aGalvosas, P.$$b1
000017433 7001_ $$0P:(DE-Juel1)VDB1270$$aPohlmeier, A.$$b2$$uFZJ
000017433 7001_ $$0P:(DE-Juel1)129549$$aVereecken, H.$$b3$$uFZJ
000017433 773__ $$0PERI:(DE-600)1469665-4$$a10.1016/j.jmr.2011.07.004$$gVol. 212, p. 216 - 223$$p216 - 223$$q212<216 - 223$$tJournal of magnetic resonance$$v212$$x1090-7807$$y2011
000017433 8567_ $$uhttp://dx.doi.org/10.1016/j.jmr.2011.07.004
000017433 909CO $$ooai:juser.fz-juelich.de:17433$$pVDB$$pVDB:Earth_Environment
000017433 9131_ $$0G:(DE-Juel1)FUEK407$$bErde und Umwelt$$kP24$$lTerrestrische Umwelt$$vTerrestrische Umwelt$$x0
000017433 9132_ $$0G:(DE-HGF)POF3-259H$$1G:(DE-HGF)POF3-250$$2G:(DE-HGF)POF3-200$$aDE-HGF$$bMarine, Küsten- und Polare Systeme$$lTerrestrische Umwelt$$vAddenda$$x0
000017433 9141_ $$y2011
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