… This work introduces a new reconstruction method for autocalibrated parallel imaging
which is based on regularized nonlinear inversion. The approach allows for a simultaneous …

… In §2 we review some general approaches to inverse problems to set the context for optical
tomography, defining both the terms for ard problem and in erse problem, and we review …

… of matrix inversion when used in an image reconstruction … ; this is compared with the inverse
obtained using singular value … network provides a more useful and robust matrix inverse. …

… playing an important role in fast magnetic resonance imaging … reconstruction with fewer
measurements. This article provides an overview of deep-learning-based image reconstruction …

… image reconstruction methods rely on delay-and-sum (DAS) beamforming, which is a relatively
poor solution to the image reconstruction … and a strong prior on the image under scrutiny. …

… in image space and the role of the image reconstruction process is to transform the acquired
raw data into images … and applies the inverse model on the data to obtain the image result. …

… reconstruction, a pseudoinversion method was proposed and tested experimentally for image
reconstruction … image reconstruction using coarse image modeling, whch means that an …

… image reconstruction using MRI as a model system, but we emphasize that our approach is
applicable to image reconstruction … , many inverse encoding models for image reconstruction …

… edges and circulant structure of the covariance or weighting matrix can be made, the matrix
to be inverted is circulant in the case of a space-invariant degradation. It can then be rapidly …

… K, the matrix inversion becomes intractable very … image of M×M pixels the number of elements
in the matrix A is M 2 ×M 2 . The matrix A is symmetric but even so a naive matrix inversion …