Three dimensional imaging of porosity and tracer concentration distributions in a dolostone sample during diffusion experiments using X-ray micro-CT

Agbogun, Henry; Al, Tom A.; Hussein, Esam M.A.

doi:10.1016/j.jconhyd.2012.11.008

Cited by 31 publications

(20 citation statements)

References 40 publications

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“…Convenient techniques are magnetic resonance imaging (MRI), X‐ray computed tomography (X‐ray CT) and neutron tomography (NT), which can map roots as well as water content [ Moradi et al ., ; Daly et al ., ; Dara et al ., ; Ahmed et al ., ]. These methods can also be used in combination with tracers (e.g., D 2 O for NT [ Zarebanadkouki et al ., ; Zarebanadkouki et al ., ; Zarebanadkouki et al ., ] or Iodide for X‐ray CT [ Agbogun et al ., ; Wang et al ., ]). However, with NT and X‐ray CT only relatively high solute concentrations can be visualized.…”

Section: Introductionmentioning

confidence: 99%

Quantitative mapping of solute accumulation in a soil‐root system by magnetic resonance imaging

Haber‐Pohlmeier

Vanderborght

Pohlmeier

2017

Water Resources Research

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Differential uptake of water and solutes by plant roots generates heterogeneous concentration distributions in soils. Noninvasive observations of root system architecture and concentration patterns therefore provide information about root water and solute uptake. We present the application of magnetic resonance imaging (MRI) to image and monitor root architecture and the distribution of a tracer, GdDTPA2− (Gadolinium‐diethylenetriaminepentacetate) noninvasively during an infiltration experiment in a soil column planted with white lupin. We show that inversion recovery preparation within the MRI imaging sequence can quantitatively map concentrations of a tracer in a complex root‐soil system. Instead of a simple T1 weighting, the procedure is extended by a wide range of inversion times to precisely map T1 and subsequently to cover a much broader concentration range of the solute. The derived concentrations patterns were consistent with mass balances and showed that the GdDTPA2− tracer represents a solute that is excluded by roots. Monitoring and imaging the accumulation of the tracer in the root zone therefore offers the potential to determine where and by which roots water is taken up.

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Section: Introductionmentioning

confidence: 99%

Quantitative mapping of solute accumulation in a soil‐root system by magnetic resonance imaging

Haber‐Pohlmeier

Vanderborght

Pohlmeier

2017

Water Resources Research

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“…Contrast agents often used in lab-based CT for this purpose include potassium or sodium iodide [13,14] solutions and mercury [5,15].…”

Section: Introductionmentioning

confidence: 99%

“…Beam hardening due to the sample can be modified by the contrast agent making it more difficult to extract truly quantitative data from the subtraction of the two images [13]. This is particularly an issue where there is significant unresolved porosity.…”

Section: Introductionmentioning

confidence: 99%

Quantitative micro-porosity characterization using synchrotron micro-CT and xenon K-edge subtraction in sandstones, carbonates, shales and coal

Mayo

Josh

Nesterets

et al. 2015

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“…This makes porosity visible by the degree of saturation of the contrast agent throughout the structure. Contrast agents often used in lab-based CT for this purpose include potassium or sodium iodide solutions (Agbogun et al, 2013;Andrew et al, 2014) and in some cases mercury (Klobes et al, 1997;Fusi & Martinez-Martinez, 2013). This method has since been widely applied to a range of sample types (Ketcham & Iturrino, 2005;Ghous et al, 2007;Boone et al, 2014).…”

Section: Introductionmentioning

confidence: 99%

Characterization of Darai Limestone Composition and Porosity Using Data-Constrained Modeling and Comparison with Xenon K-Edge Subtraction Imaging

et al. 2015

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Data-constrained modeling is a method that enables three-dimensional distribution of mineral phases and porosity in a sample to be modeled based on micro-computed tomography scans acquired at different X-ray energies. Here we describe an alternative method for measuring porosity, synchrotron K-edge subtraction using xenon gas as a contrast agent. Results from both methods applied to the same Darai limestone sample are compared. Reasonable agreement between the two methods and with other porosity measurements is obtained. The possibility of a combination of data-constrained modeling and K-edge subtraction methods for more accurate sample characterization is discussed.

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Three dimensional imaging of porosity and tracer concentration distributions in a dolostone sample during diffusion experiments using X-ray micro-CT

Cited by 31 publications

References 40 publications

Quantitative mapping of solute accumulation in a soil‐root system by magnetic resonance imaging

Quantitative mapping of solute accumulation in a soil‐root system by magnetic resonance imaging

Quantitative micro-porosity characterization using synchrotron micro-CT and xenon K-edge subtraction in sandstones, carbonates, shales and coal

Characterization of Darai Limestone Composition and Porosity Using Data-Constrained Modeling and Comparison with Xenon K-Edge Subtraction Imaging

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