ArticleHardwareX2025
Printed, dual-loop magnetic field sniffer probe for bench measurements on radio frequency MRI coils.
Article in HardwareX, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
0 citing papers in PubMed.
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This work describes an open-source design for decoupled dual-loop radio frequency (RF) probes which are common tools in the RF lab. In magnetic resonance (MR) applications dual-loop probes are used to measure the tuning frequency and quality factor of RF coils and associated electronics. Traditional dual-loop probes, however, are delicate and not readily available commercially because they are made using semi-rigid or hand-formable coaxial cable, and they require skill and experience to build well. Our dual-loop probe design is tough, reliable, and can be mass-produced inexpensively, thus allowing new and established labs to obtain these probes with minimal effort. We used two overlapped shielded loops fabricated with multilayer printed circuit board technology. Design files are published under an open-hardware license. The printed probe achieves the required levels of durability and high isolation (better than 50 dB up to 500 MHz) which are equivalent to those achieved with traditional probes, and much more resistant to degradation.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.