Improving phase‐based conductivity reconstruction by means of deep learning–based denoising of B1+ phase data for 3T MRI
Purpose To denoise B1+ phase using a deep learning method for phase‐based in vivo electrical conductivity reconstruction in a 3T MR system. Methods For B1+ phase deep‐learning denoising, a convolutional neural network (U‐net) was chosen. Training was performed on data sets from 10 healthy volunteers...
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Veröffentlicht in: | Magnetic resonance in medicine 2021-10, Vol.86 (4), p.2084-2094 |
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