Nuclear spin noise tomography in three dimensions with iterative simultaneous algebraic reconstruction technique (SART) processing

Ginthör, Stephan J.; Schlagnitweit, Judith; Bechmann, Matthias; Müller, Norbert

doi:https://doi.org/10.5194/mr-1-165-2020

Articles | Volume 1, issue 2

https://doi.org/10.5194/mr-1-165-2020

© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/mr-1-165-2020

© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 1, issue 2

Research article

|

06 Aug 2020

Research article |

| 06 Aug 2020

Nuclear spin noise tomography in three dimensions with iterative simultaneous algebraic reconstruction technique (SART) processing

Stephan J. Ginthör, Judith Schlagnitweit, Matthias Bechmann, and Norbert Müller

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Final revised paper (published on 06 Aug 2020)
Supplement to the final revised paper
Preprint (discussion started on 27 May 2020)
Supplement to the preprint

Interactive discussion

Status: closed

AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment

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- Supplement

SC1: 'Spin noise too revolutionary ?', Geoffrey Bodenhausen, 05 Jun 2020
RC1: 'review', Anonymous Referee #1, 13 Jun 2020
- AC1: 'Reply to the reviewers', Norbert Mueller, 09 Jul 2020
RC2: 'Review', Anonymous Referee #2, 21 Jun 2020
EC1: 'revised manuscript', Matthias Ernst, 10 Jul 2020

Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision

AR by Lorena Grabowski on behalf of the Authors (17 Jul 2020) Author's response

ED: Publish as is (17 Jul 2020) by Matthias Ernst

Short summary

For the first time, a three-dimensional map of the distribution of water in a test sample has been obtained from the random radio signal (spin noise) emitted spontaneously by hydrogen nuclei in a magnetic field with varying field gradients. A special variant of a projection–reconstruction algorithm has been developed for noise data, which allows one to adjust the image quality between high resolution/low contrast and low resolution/high contrast from the same previously recorded spin noise data.