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Abstract #2376

Transmit Field Estimation from K-space Data

Yu Ding 1 and Jinghua Wang 2

1 Dorothy M. Davis Heart and Lung Research Institute, The Ohio State University, Columbus, Ohio, United States, 2 Center for Cognitive and Behavioral Brain Imaging, The Ohio State University, Columbus, Ohio, United States

Imaging of large objects at high field generally introduces large signal inhomogeneity associated with wavelength effect, object configuration and object electromagnetic properties. Estimating transmit field B1+ maps is prerequisite for various techniques (such as RF shimming, parallel excitation and inhomogeneity correction) to mitigate signal inhomogeneity, quantitative MR imaging and electrical property mapping. The status quo gold standard utilizes pixel-wise division which could be problematic when the image SNR is low. Here we explored the feasibility of estimating B1+ maps accurately, rapidly and robustly in k-space domain using a convolution kernel.

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