33 search results - page 2 / 7 » A self-referencing level-set method for image reconstruction... |
WCE
2007
13 years 6 months ago
2007
Abstract— Common MRI sampling patterns in kspace, such as spiral trajectories, have nonuniform density and do not lie on a rectangular grid. We propose mapping the sampled data t...
CORR
2008
Springer
13 years 5 months ago
2008
Springer
This paper presents a hierarchical Bayesian model to reconstruct sparse images when the observations are obtained from linear transformations and corrupted by an additive white Gau...
TMI
2010
12 years 11 months ago
2010
Abstract--Reconstruction algorithms for fluorescence tomography have to address two crucial issues : (i) the ill-posedness of the reconstruction problem, (ii) the large scale of nu...
ISBI
2009
IEEE
13 years 11 months ago
2009
IEEE
Compressive sensing is the reconstruction of sparse images or signals from very few samples, by means of solving a tractable optimization problem. In the context of MRI, this can ...
TMI
2011
12 years 12 months ago
2011
Abstract—Many practical applications require the reconstruction of images from irregularly sampled data. The spline formalism offers an attractive framework for solving this prob...