Abstract

The geometrical noise amplification factor (g-factor) of an eight-channel receive-only coil array was studied for brain imaging at various field strengths. At 1.5, 3.0 and 7.0 Tesla, both experimental and simulation results were obtained and compared for verification purposes. Numerical simulations were further performed at 11.7, 14.0 and 21.0 Tesla. It was found that the most significant parallel imaging performance gain was achieved at an acceleration rate 4 and when the field strength is above 3.0 Tesla. However, the performance of parallel imaging plateaus above 11.7 Tesla plateaus due to highly correlated coil profiles.

Highlights

  • With the advances of parallel imaging, such as SMASH [1] or SENSE [2], arrays of radio-frequency (RF) coils are commonly used for MRI signal reception [1,2]

  • Since the design of receiver array determines the achievable signal-to-noise ratio (SNR) and parallel imaging performance, many research efforts have been dedicated to SENSE coil design

  • It was found that the most significant parallel imaging performance gain was achieved at an acceleration rate 4 and when the field strength is above 3.0 Tesla

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Summary

Introduction

With the advances of parallel imaging, such as SMASH [1] or SENSE [2], arrays of radio-frequency (RF) coils are commonly used for MRI signal reception [1,2]. Combined with a separate volume transmitter, parallel imaging arrays provide the capability of accelerated image acquisition with substantial increases in signal-to-noise ratio (SNR). This feature has been found very beneficial to applications such as BOLD functional MRI [4]. Since the design of receiver array determines the achievable SNR and parallel imaging performance, many research efforts have been dedicated to SENSE coil design. It was demonstrated that large number of coils and tightly fitted design generally benefits SENSE imaging. Because sensitivity profiles are utilized in SENSE for spatial encoding, more distinguished profiles are beneficial to spatial encoding

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