Learning-based motion artifact removal networks for quantitative R 2 ∗ mapping.

Xiaojian XuSatya V V N KothapalliJiaming LiuSayan KahaliWeijie GanDmitriy A Yablonskiy Ulugbek S Kamilov

Published in: Magnetic resonance in medicine (2022)

estimation. Both LEARN-IMG and LEARN-BIO jointly process all the available gradient echoes, which enables them to exploit spatial patterns available in the data. The high computational speed of LEARN-BIO is an advantage that can lead to a broader clinical application.

Keyphrases

high resolution
electronic health record
magnetic resonance imaging
high speed
mass spectrometry
data analysis
deep learning
dual energy