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Updated: Aug 14, 2026

Fabrication and Characterization of Superconducting Resonators
Published on: May 21, 2016
Experimental development of a petal resonator surface coil
Alfredo Odon Rodríguez1, Sandra Silvia Hidalgo, Rafael Rojas
1Centro de Investigación en Imagenología e Instrumentación Médica, Universidad Autónoma Metropolitana Iztapalapa, México, DF 09340, México. arog@xanum.uam.mx
A novel petal resonator surface (PERES) coil significantly enhances MRI signal-to-noise ratio (SNR) by up to 35% compared to conventional coils. This advanced MRI coil design offers improved imaging for clinical applications.
Area of Science:
- Magnetic Resonance Imaging (MRI)
- Radiofrequency Coil Design
- Medical Physics
Background:
- Surface coils are crucial for MRI, but their signal-to-noise ratio (SNR) can be limiting.
- Existing coil designs like circular and phased-array coils have inherent limitations in SNR enhancement.
Purpose of the Study:
- To design and evaluate a novel petal resonator surface (PERES) coil for MRI.
- To assess the SNR improvement offered by the PERES coil compared to conventional designs.
Main Methods:
- Developed a PERES coil based on the petal resonator principle, featuring an eight-petal array and a central circular coil.
- Utilized the quasistatic method to derive an analytical function for PERES coil SNR.
- Conducted imaging experiments on a spectroscopy phantom and healthy volunteer brains using a 1.5-T commercial imager.
Main Results:
- Theoretical analysis predicted a 26% and 35% SNR enhancement over circular and phased-array coils, respectively.
- Experimental imaging confirmed significant SNR improvements.
- The PERES coil demonstrated compatibility with standard clinical MRI systems and protocols.
Conclusions:
- The PERES coil represents a significant advancement in MRI surface coil technology.
- This new coil design offers a substantial increase in SNR, providing a valuable alternative for improved MRI diagnostics.
- The PERES coil is compatible with existing clinical MRI infrastructure.
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