Magnetic resonance imaging with optical preamplification and detection

Research output: Contribution to journalJournal articlepeer-review

Standard

Magnetic resonance imaging with optical preamplification and detection. / Simonsen, Anders; Sanchéz-Heredia, Juan Diego; Saarinen, Sampo Antero; Ardenkjær-Larsen, Jan Henrik; Schliesser, Albert; Polzik, Eugene Simon.

In: Scientific Reports, Vol. 9, 18173, 03.12.2019.

Research output: Contribution to journalJournal articlepeer-review

Harvard

Simonsen, A, Sanchéz-Heredia, JD, Saarinen, SA, Ardenkjær-Larsen, JH, Schliesser, A & Polzik, ES 2019, 'Magnetic resonance imaging with optical preamplification and detection', Scientific Reports, vol. 9, 18173. https://doi.org/10.1038/s41598-019-54200-3

APA

Simonsen, A., Sanchéz-Heredia, J. D., Saarinen, S. A., Ardenkjær-Larsen, J. H., Schliesser, A., & Polzik, E. S. (2019). Magnetic resonance imaging with optical preamplification and detection. Scientific Reports, 9, [18173]. https://doi.org/10.1038/s41598-019-54200-3

Vancouver

Simonsen A, Sanchéz-Heredia JD, Saarinen SA, Ardenkjær-Larsen JH, Schliesser A, Polzik ES. Magnetic resonance imaging with optical preamplification and detection. Scientific Reports. 2019 Dec 3;9. 18173. https://doi.org/10.1038/s41598-019-54200-3

Author

Simonsen, Anders ; Sanchéz-Heredia, Juan Diego ; Saarinen, Sampo Antero ; Ardenkjær-Larsen, Jan Henrik ; Schliesser, Albert ; Polzik, Eugene Simon. / Magnetic resonance imaging with optical preamplification and detection. In: Scientific Reports. 2019 ; Vol. 9.

Bibtex

@article{888718725fda412d8ddeb08069cb2554,
title = "Magnetic resonance imaging with optical preamplification and detection",
abstract = "Magnetic resonance (MR) imaging relies on conventional electronics that is increasingly challenged by the push for stronger magnetic fields and higher channel count. These problems can be avoided by utilizing optical technologies. As a replacement for the standard low-noise preamplifier, we have implemented a new transduction principle that upconverts an MR signal to the optical domain and imaged a phantom in a clinical 3 T scanner with signal-to-noise comparable to classical induction detection.",
author = "Anders Simonsen and Sanch{\'e}z-Heredia, {Juan Diego} and Saarinen, {Sampo Antero} and Ardenkj{\ae}r-Larsen, {Jan Henrik} and Albert Schliesser and Polzik, {Eugene Simon}",
year = "2019",
month = dec,
day = "3",
doi = "10.1038/s41598-019-54200-3",
language = "English",
volume = "9",
journal = "Scientific Reports",
issn = "2045-2322",
publisher = "nature publishing group",

}

RIS

TY - JOUR

T1 - Magnetic resonance imaging with optical preamplification and detection

AU - Simonsen, Anders

AU - Sanchéz-Heredia, Juan Diego

AU - Saarinen, Sampo Antero

AU - Ardenkjær-Larsen, Jan Henrik

AU - Schliesser, Albert

AU - Polzik, Eugene Simon

PY - 2019/12/3

Y1 - 2019/12/3

N2 - Magnetic resonance (MR) imaging relies on conventional electronics that is increasingly challenged by the push for stronger magnetic fields and higher channel count. These problems can be avoided by utilizing optical technologies. As a replacement for the standard low-noise preamplifier, we have implemented a new transduction principle that upconverts an MR signal to the optical domain and imaged a phantom in a clinical 3 T scanner with signal-to-noise comparable to classical induction detection.

AB - Magnetic resonance (MR) imaging relies on conventional electronics that is increasingly challenged by the push for stronger magnetic fields and higher channel count. These problems can be avoided by utilizing optical technologies. As a replacement for the standard low-noise preamplifier, we have implemented a new transduction principle that upconverts an MR signal to the optical domain and imaged a phantom in a clinical 3 T scanner with signal-to-noise comparable to classical induction detection.

U2 - 10.1038/s41598-019-54200-3

DO - 10.1038/s41598-019-54200-3

M3 - Journal article

C2 - 31796770

VL - 9

JO - Scientific Reports

JF - Scientific Reports

SN - 2045-2322

M1 - 18173

ER -

ID: 231768797