Improving phase-based conductivity reconstruction by means of deep learning-based denoising of B 1 + phase data for 3T MRI.

Kyu-Jin Jung Stefano Mandija Jun-Hyeong Kim Kanghyun Ryu Soozy JungChuanjiang CuiSoo-Yeon KimMina ParkCornelis A T van den BergDong-Hyun Kim

Published in: Magnetic resonance in medicine (2021)

The results suggest that the proposed approach can be used as an alternative preprocessing method to denoise B 1 + maps for phase-based conductivity reconstruction without relying on image filters or signal averaging.

Keyphrases

deep learning
convolutional neural network
magnetic resonance imaging
machine learning
electronic health record
magnetic resonance
big data
contrast enhanced
computed tomography
diffusion weighted imaging
data analysis