DEVELOPMENT AND OPTIMISATION OF SURFACE AND VOLUME RADIOFREQUENCY COILS SUITABLE FOR FAST-FIELD-CYCLING MAGNETIC RESONANCE IMAGING (FFC-MRI)

Objective: To evaluate a modelling and design methodology employed in constructing and optimizing radiofrequency (RF) coils suitable for use with the whole-body fast-field-cycling Magnetic Resonance Imaging (FFC-MRI). It is also aimed at comparing the sensitivity and the signal-to-noise ratio (SNR) of the various types of surface RF coils constructed at the initial and final stages of this research. Methodology: An experimental study carried out at Biomedical MRI Laboratory at University of Aberdeen. Various designs of RF coil were constructed, optimized and tested with network/signal analyser for use with an experimental FFC - MRI scanner, operating at a detection magnetic field of 0.2 T (proton Larmor frequency of 8.5 MHz). The coils comprised circular loop (CL) RF – receive surface coil and a birdcage RF – transmit volume coil. The intrinsic parameters of the CL coils were measured using a search-coil field probe and a network/signal analyser. Results: The CL surface coil constructed with copper wire had resonant frequency of 8.46 MHz and Quality factor (Q – factor) of 47.1 while the resonant frequency of the one constructed with litz wire was 8.54 MHz and Q - factor of 85.4 MHz. The intrinsic parameter of the birdcage volume coil was 8.48 MHz and Q - factor of 102. Conclusion: Bench testing of the coils showed promise as receiver and transmit coils for the FFC-MRI system.

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Publication Details

Journal
JRRS
Published
2025-12-29
DOI
https://doi.org/10.82547/jrrs.vol32no1.67
Primary Topic
Advanced MRI Techniques and Applications
Type
article
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article

DEVELOPMENT AND OPTIMISATION OF SURFACE AND VOLUME RADIOFREQUENCY COILS SUITABLE FOR FAST-FIELD-CYCLING MAGNETIC RESONANCE IMAGING (FFC-MRI)

Mohammed Danfulani, M. Abba, Nike Mutiat Miftaudeen, Lionel Broch et al.
JRRS
Advanced MRI Techniques and Applications
article

DEVELOPMENT AND OPTIMISATION OF SURFACE AND VOLUME RADIOFREQUENCY COILS SUITABLE FOR FAST-FIELD-CYCLING MAGNETIC RESONANCE IMAGING (FFC-MRI)

Mohammed Danfulani, M. Abba, Nike Mutiat Miftaudeen, Lionel Broch, Chukwuka Anthony Ugwu, Sadiq Abubakar Audu, Umar Abubakar, Abacha Mohammed
article en

Abstract

Objective: To evaluate a modelling and design methodology employed in constructing and optimizing radiofrequency (RF) coils suitable for use with the whole-body fast-field-cycling Magnetic Resonance Imaging (FFC-MRI). It is also aimed at comparing the sensitivity and the signal-to-noise ratio (SNR) of the various types of surface RF coils constructed at the initial and final stages of this research. Methodology: An experimental study carried out at Biomedical MRI Laboratory at University of Aberdeen. Various designs of RF coil were constructed, optimized and tested with network/signal analyser for use with an experimental FFC - MRI scanner, operating at a detection magnetic field of 0.2 T (proton Larmor frequency of 8.5 MHz). The coils comprised circular loop (CL) RF – receive surface coil and a birdcage RF – transmit volume coil. The intrinsic parameters of the CL coils were measured using a search-coil field probe and a network/signal analyser. Results: The CL surface coil constructed with copper wire had resonant frequency of 8.46 MHz and Quality factor (Q – factor) of 47.1 while the resonant frequency of the one constructed with litz wire was 8.54 MHz and Q - factor of 85.4 MHz. The intrinsic parameter of the birdcage volume coil was 8.48 MHz and Q - factor of 102. Conclusion: Bench testing of the coils showed promise as receiver and transmit coils for the FFC-MRI system.

JRRS
Usmanu Danfodiyo University Teaching Hospital, Sokoto (NG), Usmanu Danfodiyo University (NG), Bayero University Kano (NG)
Openalex Percentile: Top 28%
Advanced MRI Techniques and Applications
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DEVELOPMENT AND OPTIMISATION OF SURFACE AND VOLUME RADIOFREQUENCY COILS SUITABLE FOR FAST-FIELD-CYCLING MAGNETIC RESONANCE IMAGING (FFC-MRI) — Mohammed Danfulani, M. Abba, et al. · JRRS (2025) | TGRS Research Map | TGRS