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
Hauptverfasser: Jung, Kyu‐Jin, Mandija, Stefano, Kim, Jun‐Hyeong, Ryu, Kanghyun, Jung, Soozy, Cui, Chuanjiang, Kim, Soo‐Yeon, Park, Mina, den Berg, Cornelis A. T., Kim, Dong‐Hyun
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Sprache:eng
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