Detector clothes for MRI: A wearable array receiver based on liquid metal in elastic tubes.


Journal

Scientific reports
ISSN: 2045-2322
Titre abrégé: Sci Rep
Pays: England
ID NLM: 101563288

Informations de publication

Date de publication:
01 06 2020
Historique:
received: 10 02 2020
accepted: 06 05 2020
entrez: 3 6 2020
pubmed: 3 6 2020
medline: 3 6 2020
Statut: epublish

Résumé

In modern magnetic resonance imaging, signal detection is performed by dense arrays of radiofrequency resonators. Tight-fitting arrays boost the sensitivity and speed of imaging. However, current devices are rigid and cage-like at the expense of patient comfort. They also constrain posture, limiting the examination of joints. For better ergonomics and versatility, detectors should be flexible, adapt to individual anatomy, and follow posture. Towards this goal, the present work proposes a novel design based on resonators formed by liquid metal in polymer tubes. Textile integration creates lightweight, elastic devices that are worn like pieces of clothing. A liquid-metal array tailored to the human knee is shown to deliver competitive image quality while self-adapting to individual anatomy and adding the ability to image flexion of the joint. Relative to other options for stretchable conductors, liquid metal in elastic tubes stands out by reconciling excellent electrical and mechanical properties with ease of manufacturing.

Identifiants

pubmed: 32483259
doi: 10.1038/s41598-020-65634-5
pii: 10.1038/s41598-020-65634-5
pmc: PMC7264329
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

8844

Commentaires et corrections

Type : ErratumIn

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Auteurs

Andreas Port (A)

Institute for Biomedical Engineering, ETH Zurich and University of Zurich, Zurich, Switzerland.

Roger Luechinger (R)

Institute for Biomedical Engineering, ETH Zurich and University of Zurich, Zurich, Switzerland.

Loris Albisetti (L)

Institute for Biomedical Engineering, ETH Zurich and University of Zurich, Zurich, Switzerland.

Matija Varga (M)

Institute for Electronics, ETH Zurich, Zurich, Switzerland.

Josip Marjanovic (J)

Institute for Biomedical Engineering, ETH Zurich and University of Zurich, Zurich, Switzerland.

Jonas Reber (J)

Institute for Biomedical Engineering, ETH Zurich and University of Zurich, Zurich, Switzerland.

David Otto Brunner (DO)

Institute for Biomedical Engineering, ETH Zurich and University of Zurich, Zurich, Switzerland.

Klaas Paul Pruessmann (KP)

Institute for Biomedical Engineering, ETH Zurich and University of Zurich, Zurich, Switzerland. pruessmann@biomed.ee.ethz.ch.

Classifications MeSH