Abstract
Surface microcoils are utilized in micro magnetic resonance imaging and spectroscopy for the purpose of resolution enhancement and small sample analysis. In this work, modeling and investigation of surface microcoils are conducted using finite element simulations in COMSOL Multiphysics and post-processing. The method is based on MR signal generating by employing the principle of reciprocity to obtain signal sensitivity and signal-to-noise ratio (SNR) in surface microcoils. Filling factor is investigated as an effective coil parameter to show its great effect on sensitivity and SNR where the results confirm that maximum SNR can be achieved with optimum parameters when the filling factor is high enough. Regarding the great interest on MR coil optimization and microcoil array design, the findings can facilitate the optimization and design process by focusing on the most effective parameters to achieve the desired specifications in an accurate and time-saving manner.
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