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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