Deep learning‐based reconstruction on intensity‐inhomogeneous diffusion magnetic resonance imaging

Deep learning‐based reconstruction on intensity‐inhomogeneous diffusion magnetic resonance imaging

Abstract Background Ultra high field diffusion magnetic resonance imaging (dMRI) provides diffusion‐weighted (DW) images with a high signal‐to‐noise ratio, but increases inhomogeneity, which affects the accuracy of dMRI metric reconstruction. Current methods for correcting inhomogeneity rarely consi...

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Bibliographic Details
Main Authors: Zaimin Zhu, He Wang, Yong Liu, Fangrong Zong
Format: Article
Language:English
Published: Wiley 2024-12-01
Series:iRADIOLOGY
Subjects:
data augmentation
deep learning
diffusion MRI reconstruction
inhomogeneity correction
ultrahigh field
Online Access:https://doi.org/10.1002/ird3.100
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