ArticleSensors (Basel, Switzerland)2024
A Metamaterial-like Structure Design Using Non-uniformly Distributed Dielectric and Conducting Strips to Boost the RF Field Distribution in 7 T MRI.
Article in Sensors (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed, 4 citations in OpenAlex.
- Enhanced Transmit Efficiency of a Loop Array Combined With Out-of-Phase Passive Dipoles for Thoracic Spinal Cord MRI at 7T.Magnetic resonance in medicine · 2026Article
- Modular Metamaterials for Adaptable MRI Signal Control: Combining Dipole Array With a New Hexagon-Based Artificial Dielectrics.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Metamaterial Antennas Enhance MRI of the Eye and Occipital Brain.Advanced materials (Deerfield Beach, Fla.) · 2026Article
- Enhancement of in vivo 7T magnetic resonance neuroimaging via flexible metasurfaces.Npj imaging · 2026Article
- Evaluation of an open-face 8-channel transmit 64-channel receive 7T head coil for neuroimaging.Frontiers in neuroscience · 2026Article
- Shaping the RF Transmit Field in 7T MRI Using a Nonuniform Metasurface Constructed of Short Conducting Strips.ACS applied materials & interfaces · 2024Article
Corrections and comments
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Authors and funding
2 authors at 1 institution in 1 country.
Funding
Abstract
Metamaterial-based designs in ultra-high field (≥7 T) MRI have the promise of increasing the local magnetic resonance imaging (MRI) signal and potentially even the global efficiency of both the radiofrequency (RF) transmit and receive resonators. A recently proposed metamaterial-like structure-comprised of a high-permittivity dielectric material and a set of evenly distributed copper strips-indeed resulted in a local increase in RF transmission. Here, we demonstrate that
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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.