Meeting Banner
Abstract #2217

Mutual Coupling Effect Precompensation for Spatial Domain Method Based Parallel Transmission

Yong Pang1, Daniel Vigneron1, 2, Xiaoliang Zhang1, 2

1Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA, United States; 2UCSF/UC Berkeley Joint Graduate Group in Bioengineering, San Francisco & Berkeley, CA, United States

In this work, we applied the precompensation method to correct the mutual coupling effect between array elements for the spatial domain method parallel transmission by taking mutual coupling coefficient matrix into pulse design procedure. To investigate its feasibility and efficiency, a 4-element coil array was used and excitation pulses were designed using both the spatial domain method and the precompensation method for comparison. The results show that the proposed precompensation method can effectively reduce the artifacts caused by mutual coupling, yielding enhanced tolerance to mutual coupling of RF arrays in parallel transmission, and providing improved excitation profile.

Keywords

able accuracy aliasing applied array arrays artifacts award bioengineering biomedical calculation cancel caused coefficient coefficients coil coils commonly compensated compensation complex corrected corresponds coupling cylinder decouple decoupling defined denotes design designed desired deteriorated diameter domain effectively efficiency efficient efficiently electromagnetic element elements eliminate enhanced equals equation example excitation excited existence extended feasibility feasible function generated gradient graduate grants helpful illustrated imperfectly implementing improve improved individual initial insufficient introducing investigate investigated joint lead leads magnetization making matrix multiplied mutual original overcome pang parallel partially pattern performance plotted previously procedure profile profiles project proposed providing pulse pulses radiology reduce reduced reduction replaced residual respectively rewrite samples sense sensitivity simple simulated simulation solving space spatial supported taking theory thoroughly tolerance tolerant trajectory transmission transmit ultimately unable usually written yielding