Iterative reconstruction algorithms augmented with regularization can produce high-quality reconstructions from few views and even in the presence of significant noise. In this pa...
Kirsch's factorization method is a fast inversion technique for visualizing the profile of a scatterer from measurements of the far-field pattern. The mathematical basis of t...
Iterative methods for image reconstruction in MRI are useful in several applications, including reconstruction from non-Cartesian k-space samples, compensation for magnetic field ...
We present an adaptation of our previous fast, regularized parallel MRI reconstruction approach (LSQR-Hybrid) to encompass the reconstruction of partial-Fourier data. Reconstructi...
William Scott Hoge, Misha Elena Kilmer, Carlos Zac...
In this paper we consider the estimation of the unknown hyperparameters for the problem of reconstructing a high-resolution image from multiple undersampled, shifted, blurred and ...
Miguel Vega, Javier Mateos, Rafael Molina, Aggelos...