2020
DOI: 10.5194/mr-1-165-2020
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Nuclear spin noise tomography in three dimensions with iterative simultaneous algebraic reconstruction technique (SART) processing

Abstract: Abstract. We report three-dimensional spin noise imaging (SNI) of nuclear spin density from spin noise data acquired by Faraday detection. Our approach substantially extends and improves the two-dimensional SNI method for excitation-less magnetic resonance tomography reported earlier (Müller and Jerschow, 2006). This proof of principle was achieved by taking advantage of the particular continuous nature of spin noise acquired in the presence of constant magnitude magnetic field gradients and recent advances in… Show more

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Cited by 3 publications
(2 citation statements)
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“…Heteronuclear NMR spin noise signals have been observed only for 13 C [29]. NMR RASER and spin noise methods have also been extended to MRI methods [49][50][51] for 1 H. Similar MRI methods for the heteronuclei will be possible under experimental conditions in higher values of RD constants.…”
Section: Discussionmentioning
confidence: 99%
“…Heteronuclear NMR spin noise signals have been observed only for 13 C [29]. NMR RASER and spin noise methods have also been extended to MRI methods [49][50][51] for 1 H. Similar MRI methods for the heteronuclei will be possible under experimental conditions in higher values of RD constants.…”
Section: Discussionmentioning
confidence: 99%
“…This improved understanding together with technological advances allowed for experiments optimized for the detection of spin noise, such as at the spin-noise tuning optimum [68,69]. Applications include detection of low 13 C spin concentrations [70], monitoring of hyperpolarization without destroying the magnetization [71], and imaging [72,73]. These can be considered to be part of a much wider field of spin-noise spectroscopy, of which magneto-optical-rotation spectroscopy is one widely employed technique [74,75].…”
Section: Observations Of Spin-projection Noise and Its Applicationsmentioning
confidence: 99%