Design and implementation of a self-decoupled figure-eight wireless coil array for ultra-high-field MRI

Magnetic resonance imaging (MRI) plays an indispensable role in clinical diagnosis owing to its high-resolution and non-invasive capabilities for soft tissue imaging. To further improve the signal-to-noise ratio (SNR) and enhance imaging performance, wireless surface coils have emerged as a promising approach to increase system flexibility. However, in high-density coil arrays, inter-element coupling and tuning complexity remain major challenges, particularly in the absence of direct physical connections.In this study, we propose a wireless coil array based on a figure-eight geometry, which enables passive decoupling without requiring geometric overlap. Unlike conventional designs, this structure maintains stable decoupling performance across multiple orientations while enhancing sensitivity to deep tissue signals. Although capacitors are still employed for tuning and can reduce coupling effects between coils, the figure-eight current path minimizes reliance on discrete inductive elements, thereby achieving more stable and simplified tuning in compact configurations.The proposed design provides a practical and efficient solution for constructing wireless MRI surface coil arrays with improved decoupling and tuning stability, paving the way for scalable multi-channel applications in advanced imaging systems.

Authors

Institutions

Publication Details

Journal
IET conference proceedings.
Published
2025-12-01
DOI
https://doi.org/10.1049/icp.2025.4263
Primary Topic
Wireless Power Transfer Systems
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Design and implementation of a self-decoupled figure-eight wireless coil array for ultra-high-field MRI

Y. Li, Ning Li, Zhuoyang Lin, Yinan Ouyang et al.
IET conference proceedings.
Wireless Power Transfer Systems
article

Design and implementation of a self-decoupled figure-eight wireless coil array for ultra-high-field MRI

Y. Li, Ning Li, Zhuoyang Lin, Yinan Ouyang, Wei Cao, Qiaoyan Chen, Feng Du, Wenhao Liao
article en

Abstract

Magnetic resonance imaging (MRI) plays an indispensable role in clinical diagnosis owing to its high-resolution and non-invasive capabilities for soft tissue imaging. To further improve the signal-to-noise ratio (SNR) and enhance imaging performance, wireless surface coils have emerged as a promising approach to increase system flexibility. However, in high-density coil arrays, inter-element coupling and tuning complexity remain major challenges, particularly in the absence of direct physical connections.In this study, we propose a wireless coil array based on a figure-eight geometry, which enables passive decoupling without requiring geometric overlap. Unlike conventional designs, this structure maintains stable decoupling performance across multiple orientations while enhancing sensitivity to deep tissue signals. Although capacitors are still employed for tuning and can reduce coupling effects between coils, the figure-eight current path minimizes reliance on discrete inductive elements, thereby achieving more stable and simplified tuning in compact configurations.The proposed design provides a practical and efficient solution for constructing wireless MRI surface coil arrays with improved decoupling and tuning stability, paving the way for scalable multi-channel applications in advanced imaging systems.

IET conference proceedings.Vol. 2025(37)
Harbin Institute of Technology (CN), Southern University of Science and Technology (CN), Shenzhen Institutes of Advanced Technology (CN)
Openalex Percentile: Top 42%
Wireless Power Transfer Systems
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.