Rapid three-dimensional multiparametric MRI with quantitative transient-state imaging.

ABSTRACT: Novel methods for quantitative, transient-state multiparametric imaging are increasingly being demonstrated for assessment of disease and treatment efficacy. Here, we build on these by assessing the most common Non-Cartesian readout trajectories (2D/3D radials and spirals), demonstrating efficient anti-aliasing with a k-space view-sharing technique, and proposing novel methods for parameter inference with neural networks that incorporate the estimation of proton density. Our results show good agreement with gold standard and phantom references for all readout trajectories at 1.5 T and 3 T. Parameters inferred with the neural network were within 6.58% difference from the parameters inferred with a high-resolution dictionary. Concordance correlation coefficients were above 0.92 and the norma

SUBMITTER: Gomez PA 

PROVIDER: S-EPMC7427097 | biostudies-literature | 2020 Aug

REPOSITORIES: biostudies-literature