Deep learning for image enhancement and correction in magnetic resonance imaging—state-of-the-art and challenges

Z Chen, K Pawar, M Ekanayake, C Pain, S Zhong… - Journal of Digital …, 2023 - Springer
Magnetic resonance imaging (MRI) provides excellent soft-tissue contrast for clinical
diagnoses and research which underpin many recent breakthroughs in medicine and …

[HTML][HTML] What's new and what's next in diffusion MRI preprocessing

CMW Tax, M Bastiani, J Veraart, E Garyfallidis… - NeuroImage, 2022 - Elsevier
Diffusion MRI (dMRI) provides invaluable information for the study of tissue microstructure
and brain connectivity, but suffers from a range of imaging artifacts that greatly challenge the …

Map** the human connectome using diffusion MRI at 300 mT/m gradient strength: Methodological advances and scientific impact

Q Fan, C Eichner, M Afzali, L Mueller, CMW Tax… - Neuroimage, 2022 - Elsevier
Tremendous efforts have been made in the last decade to advance cutting-edge MRI
technology in pursuit of map** structural connectivity in the living human brain with …

Pushing the limits of low‐cost ultra‐low‐field MRI by dual‐acquisition deep learning 3D superresolution

V Lau, L **ao, Y Zhao, S Su, Y Ding… - Magnetic …, 2023 - Wiley Online Library
Purpose Recent development of ultra‐low‐field (ULF) MRI presents opportunities for low‐
power, shielding‐free, and portable clinical applications at a fraction of the cost. However, its …

Tensor denoising of multidimensional MRI data

JL Olesen, A Ianus, L Østergaard… - Magnetic resonance …, 2023 - Wiley Online Library
Purpose To develop a denoising strategy leveraging redundancy in high‐dimensional data.
Theory and Methods The SNR fundamentally limits the information accessible by MRI. This …

[HTML][HTML] Nonparametric D-R1-R2 distribution MRI of the living human brain

J Martin, A Reymbaut, M Schmidt, A Doerfler, M Uder… - NeuroImage, 2021 - Elsevier
Diffusion-relaxation correlation NMR can simultaneously characterize both the
microstructure and the local chemical composition of complex samples that contain multiple …

A review of deep learning methods for compressed sensing image reconstruction and its medical applications

Y **e, Q Li - Electronics, 2022 - mdpi.com
Compressed sensing (CS) and its medical applications are active areas of research. In this
paper, we review recent works using deep learning method to solve CS problem for images …