2019
DOI: 10.1103/physrevapplied.11.041002
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Absolute Measurement of Pore Size based on Nonground Eigenstates in Magnetic-Resonance Relaxation

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Cited by 11 publications
(7 citation statements)
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“…Nonground eigenvalues of relaxation, after detection, may be employed in predicting pore size and surface relaxivities in natural porous media. This paper expands our previous letter [30] with more detailed descriptions, more experiments, different samples, three static magnetic fields, and a T 1 − T 2 imaging method.…”
Section: Introductionmentioning
confidence: 70%
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“…Nonground eigenvalues of relaxation, after detection, may be employed in predicting pore size and surface relaxivities in natural porous media. This paper expands our previous letter [30] with more detailed descriptions, more experiments, different samples, three static magnetic fields, and a T 1 − T 2 imaging method.…”
Section: Introductionmentioning
confidence: 70%
“…Independently, we recognized that nonground eigenvalues of the relaxation-diffusion equation in magnetic resonance relaxation of porous media might be experimentally observed in simple measurements that commenced with homogeneous magnetization [30]. Such measurements, including that of Carr-Purcell-Meiboom-Gill (CPMG), inversion recovery, and their variants, are extensively employed worldwide.…”
Section: Introductionmentioning
confidence: 99%
“…This work extends our quest to examine realistic porous media with simple magnetic resonance experiments [37] and has wide-reaching potential applications in laboratory petrophysical studies, monitoring aquifers by surface magnetic resonance, process and industrial control, and magnetic resonance imaging all of which routinely employ free induction decays. Among possible radiological applications, this study is especially prevalent to imaging methods that employ FIDs, such as the Ultrashort Echo Time (UTE) method [5], as the main means of signal formation.…”
Section: Discussionmentioning
confidence: 82%
“…1f. In complex porous materials that are dominated by two pore sizes, such as Indiana limestone [37], the simple FID model of this work is likely to fail, and a more complex equation with a summation of two terms in Eq. ( 5) representing two pore size populations may fit experimental data.…”
Section: Discussionmentioning
confidence: 99%
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