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88
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ISBI
2009
IEEE
15 years 5 months ago
Reduction of Distortions in MRSI Using a New Signal Model
We propose a new reconstruction scheme for magnetic resonance spectroscopic imaging (MRSI) signal based on minimizing the spatial total variation (TV) integrated with the 1 -norm ...
Ramin Eslami, Mathews Jacob
78
Voted
ICIP
2008
IEEE
15 years 4 months ago
Texture modulation-constrained image decomposition
Texture modeling and separation of structure in images are treated in synergy. A variational image decomposition scheme is formulated using explicit texture reconstruction constra...
Georgios Evangelopoulos, Petros Maragos
IPMI
2007
Springer
15 years 11 months ago
Multi-fiber Reconstruction from Diffusion MRI Using Mixture of Wisharts and Sparse Deconvolution
Abstract. In this paper, we present a novel continuous mixture of diffusion tensors model for the diffusion-weighted MR signal attenuation. The relationship between the mixing dist...
Bing Jian, Baba C. Vemuri
102
Voted
VMV
2000
169views Visualization» more  VMV 2000»
14 years 11 months ago
A Non-Linear Subdivision Scheme for Triangle Meshes
Subdivision schemes are commonly used to obtain dense or smooth data representations from sparse discrete data. E. g., B-splines are smooth curves or surfaces that can be construc...
Stefan Karbacher, Stephan Seeger, Gerd Häusle...
82
Voted
IJCV
2006
194views more  IJCV 2006»
14 years 10 months ago
Reconstructing Open Surfaces from Image Data
In this paper a method for fitting open surfaces to data obtained from images is presented using a level set representation of the surface. This is done by tracking a curve, repres...
Jan Erik Solem, Anders Heyden