Design of Rotated Surface Coil Array for Multiple-Subject Imaging at 400 MHz

Nam, Taewoo; Kim, D.; Seo, Minyeong; Im, Gi Jung; Hernández, Daniel; Lee, Taekwan; Kim, Kyoung Nam

doi:10.1109/access.2022.3183119

Cited by 1 publication

(1 citation statement)

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“…One possible solution to provide a uniform |B1|-field for each egg would be to design individual coils for each egg such as loop coils. The concept of multiple objects using multiple coils has been proposed for small animals [11][12][13]. The use of multiple coils for individual objects could simultaneously improve the scan time and maintain image quality.…”

Section: Introductionmentioning

confidence: 99%

Braided-Shape Electromagnetic Sensor for Screening Multiple Eggs Using 7-Tesla Magnetic Resonance Imaging

Hernandez,

Jeong,

Kim

2023

IEEE Trans. Antennas Propagat.

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Magnetic resonance imaging-based In-Ovo studies have great potential for use in both the food industry and pre-clinical research, but there are still limitations in terms of simultaneously screening large numbers of eggs. This study proposes a novel electromagnetic sensor for the simultaneous acquisition of images of multiple eggs using magnetic resonance imaging (MRI). The coil has a braid-like shape in which the eggs are placed in the space between the turns. The proposed sensor can be extended to multiple braids while exhibiting similar performance in terms of magnetic field |B1| and signal-to-noise-ratio (SNR). This work consists of design and validation with electromagnetic simulations, followed by a bench test and image acquisition. The images of multiple eggs are compared with a reference volume 8-channel loop coil array and single-loop coils. It was observed that the proposed coil can produce a uniform magnetic field |B1| for each egg, and a good SNR was acquired with MRI. The proposed coil offers an advantage by reducing the number of transmit/receive channels needed to image multiple eggs while maintaining the same image quality for each egg.

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Section: Introductionmentioning

confidence: 99%