Simultaneously optimizing sampling pattern for joint acceleration of multi-contrast MRI using model-based deep learning.
Sign Up to like & getrecommendations! Published in 2022 at "Medical physics"
DOI: 10.1002/mp.15790
Abstract: BACKGROUND Acceleration of MRI is a popular research area, and usage of deep learning for acceleration has become highly widespread in the MR community. Joint acceleration of multiple acquisition MRI was proven to be effective… read more here.
Keywords: sampling pattern; contrast; acceleration; multi contrast ... See more keywords
Accelerating the estimation of 3D spatially resolved T2 distributions.
Sign Up to like & getrecommendations! Published in 2018 at "Journal of magnetic resonance"
DOI: 10.1016/j.jmr.2018.08.008
Abstract: Obtaining quantitative, 3D spatially-resolved T2 distributions (T2 maps) from magnetic resonance data is of importance in both medical and porous media applications. Due to the long acquisition time, there is considerable interest in accelerating the… read more here.
Keywords: sampling pattern; ntgv regularization; resolved distributions; regularization ... See more keywords