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ISBI
2008
IEEE
14 years 10 months ago
Sparse representations for limited data tomography
In limited data tomography, with applications such as electron microscopy and medical imaging, the scanning views are within an angular range that is often both limited and sparse...
Hstau Y. Liao, Guillermo Sapiro
DGCI
2006
Springer
14 years 1 months ago
A Network Flow Algorithm for Binary Image Reconstruction from Few Projections
Tomography deals with the reconstruction of images from their projections. In this paper we focus on tomographic reconstruction of binary images (i.e., black-and-white) that do not...
Kees Joost Batenburg
JMIV
2008
214views more  JMIV 2008»
13 years 9 months ago
A Network Flow Algorithm for Reconstructing Binary Images from Continuous X-rays
Tomography is a powerful technique to obtain accurate images of the interior of an object in a nondestructive way. Conventional reconstruction algorithms, such as filtered backproj...
Kees Joost Batenburg
TVCG
2011
188views more  TVCG 2011»
13 years 4 months ago
Data-Parallel Octrees for Surface Reconstruction
—We present the first parallel surface reconstruction algorithm that runs entirely on the GPU. Like existing implicit surface reconstruction methods, our algorithm first builds...
Kun Zhou, Minmin Gong, Xin Huang, Baining Guo
ISBI
2009
IEEE
14 years 4 months ago
Fast Algorithms for Nonconvex Compressive Sensing: MRI Reconstruction from Very Few Data
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 ...
Rick Chartrand