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Found 5 papers, 0 papers with code
Least Squares Optimal Density Compensation for the Gridding Non-uniform Discrete Fourier Transform
The Gridding algorithm has shown great utility for reconstructing images from non-uniformly spaced samples in the Fourier domain in several imaging modalities.
Multi-coil Magnetic Resonance Imaging with Compressed Sensing Using Physically Motivated Regularization
In this manuscript, we present a generalization of several existing iterative model based algorithms.
Fast Variable Density Poisson-Disc Sample Generation with Directional Variation
We present a fast method for generating random samples according to a variable density Poisson-disc distribution.
Utilizing the Wavelet Transform's Structure in Compressed Sensing
In this work, we take advantage of the structure of this wavelet transform and identify an affine transformation that increases the sparsity of the result.
Reconstruction of Undersampled 3D Non-Cartesian Image-Based Navigators for Coronary MRA Using an Unrolled Deep Learning Model
Reconstruction with the unrolled network completes in a fraction of the time compared to CPU and GPU implementations of $\textit{l}_{1}$-ESPIRiT (20x and 3x speed increases, respectively).
