Background Noninvasive measurement of internal dynamic strain can be potentially useful
to characterize spine intervertebral disc (IVD) in the setting of injury or degenerative disease …

In this study, a fast data-driven optimization approach, named bias-accelerated subset
selection (BASS), is proposed for learning efficacious sampling patterns (SPs) with the …

Model-based methods play a key role in the reconstruction of compressed sensing (CS)
MRI. Finding an effective prior to describe the statistical distribution of the image family of …

This work proposes an alternating learning approach to learn the sampling pattern (SP) and
the parameters of variational networks (VN) in accelerated parallel magnetic resonance …

Sparse sampling and parallel imaging techniques are two effective approaches to alleviate
the lengthy magnetic resonance imaging (MRI) data acquisition problem. Promising data …

Purpose To present a method that automatically, rapidly, and in a noniterative manner
determines the regularization weighting for wavelet‐based compressed sensing …

In this study we use undersampled MRI acquisition methods to obtain accelerated 3D mono
and biexponential spin–lattice relaxation time in the rotating frame (T1ρ) mapping of knee …

In medical imaging and applications, efficient image sampling and transfer are some of the
key fields of research. The compressed sensing (CS) theory has shown that such …

We conduct a study and comparison of superiorization and optimization approaches for the
reconstruction problem of superiorized/regularized least-squares solutions of …

Purpose To use golden‐angle radial sampling and compressed sensing (CS) for
accelerating mono‐and biexponential 3D spin‐lattice relaxation time in the rotating frame …