Abstract

Fiber Bragg grating (FBG) based sensors have recently been introduced to the field of magnetic resonance imaging (MRI). Real-time MRI applications demand highly amplitude and phase sensitive MRI compatible sensors. Thus, a model and detailed analysis of FBG based ultrasound detection are required for designing better performing sensors. A hybrid FBG model incorporating numerical and FEA methods was developed and used for sensitivity and linearity analysis. The transfer matrix method was used for the modeling of optical modulation whereas FEA was used for pressure field calculations within the grating. The model was verified through reflection spectrum and acoustic pressure sensitivity testing of two π-phase shifted FBGs in a side slope read-out configuration. The sensitivity curves with respect to the operation point on the side slope was characterized in terms of amplitude and phase, and nonlinearity of the phase response has been quantified. Lastly, the impact of phase linearity of the FBG based acousto-optic sensor was tested under MRI when the sensor was used as a position marker and an analog phase shifter based solution was demonstrated.

Highlights

  • Fiber Bragg gratings (FBGs) have been widely used for strain and temperature measurements over the last few decades in nondestructive structural health monitoring [1,2,3,4,5]

  • Custom made πphase shifted FBG (πFBG) with two bandwidths operating at 1550nm (Teraxion Inc., Quebec, Canada) were used

  • The πFBGs were fabricated on a polarization maintaining (PM) fiber so that there are two Bragg wavelengths due to slightly different refractive index in the slow axis and fast axis of PM fiber

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Summary

Introduction

Fiber Bragg gratings (FBGs) have been widely used for strain and temperature measurements over the last few decades in nondestructive structural health monitoring [1,2,3,4,5]. Both normal and phase shifted FBGs have been used as acousto-optic sensors with the side slope detection method, large portion of the slope of the spectrum has been assumed linear in the previous studies [12,15,18,20]. This assumption is valid when the sensitivity of the FBG is relatively low and acousto-optic modulation is very small.

Modeling of FBG
Model validation
Sensitivity measurements
Linearity analysis
Conclusion
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