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MICCAI
2010
Springer
14 years 7 months ago
Efficient MR Image Reconstruction for Compressed MR Imaging
In this paper, we propose an efficient algorithm for MR image reconstruction. The algorithm minimizes a linear combination of three terms corresponding to a least square data fitti...
Junzhou Huang, Shaoting Zhang, Dimitris N. Metaxas
81
Voted
ICIP
2007
IEEE
15 years 11 months ago
Dart: A Fast Heuristic Algebraic Reconstruction Algorithm for Discrete Tomography
Discrete tomography (DT) is concerned with the tomographic reconstruction of images that consist of only a small number of gray levels. DT reconstruction problems are usually unde...
Kees Joost Batenburg, Jan Sijbers
IVC
2006
133views more  IVC 2006»
14 years 9 months ago
A subspace method for projective reconstruction from multiple images with missing data
In this paper, we consider the problem of projective reconstruction based on the subspace method. Unlike existing subspace methods which require that all the points are visible in...
W. K. Tang, Y. S. Hung
89
Voted
ISBI
2008
IEEE
15 years 10 months ago
Tomographic image reconstruction from limited-view projections with Wiener filtered focuss algorithm
In tomographic image reconstruction from limited-view projections the underlying inverse problem is ill-posed with the rank-deficient system matrix. The minimal-norm least squares...
Rafal Zdunek, Zhaoshui He, Andrzej Cichocki
115
Voted
ICASSP
2009
IEEE
15 years 4 months ago
MIMO decoding based on stochastic reconstruction from multiple projections
Least squares (LS) fitting is one of the most fundamental techniques in science and engineering. It is used to estimate parameters from multiple noisy observations. In many probl...
Amir Leshem, Jacob Goldberger