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» Adaptive Image Reconstruction Using Information Measures
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SMI
2006
IEEE
134views Image Analysis» more  SMI 2006»
15 years 3 months ago
Evolution of T-Spline Level Sets with Distance Field Constraints for Geometry Reconstruction and Image Segmentation
We study the evolution of T-spline level sets (i.e, implicitly defined T-spline curves and surfaces). The use of T-splines leads to a sparse representation of the geometry and al...
Huaiping Yang, Matthias Fuchs, Bert Jüttler, ...
ICIP
2006
IEEE
15 years 11 months ago
An Architecture for Compressive Imaging
Compressive Sensing is an emerging field based on the revelation that a small group of non-adaptive linear projections of a compressible signal contains enough information for rec...
Michael B. Wakin, Jason N. Laska, Marco F. Duarte,...
ISBI
2009
IEEE
15 years 4 months ago
LV Surface Reconstruction from Sparse TMRI Using Laplacian Surface Deformation and Optimization
We propose a novel framework to reconstruct the left ventricle (LV)’s 3D surface from sparse tagged-MRI (tMRI). First we acquire an initial surface mesh from a dense tMRI. Then ...
Shaoting Zhang, Xiaoxu Wang, Dimitris Metaxas, Tin...
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SCALESPACE
2007
Springer
15 years 3 months ago
Combining Different Types of Scale Space Interest Points Using Canonical Sets
Scale space interest points capture important photometric and deep structure information of an image. The information content of such points can be made explicit using image recons...
Frans Kanters, Trip Denton, Ali Shokoufandeh, Luc ...
ICPR
2010
IEEE
15 years 1 months ago
Improving Undersampled MRI Reconstruction Using Non-Local Means
Obtaining high quality images in MR is desirable not only for accurate visual assessment but also for automatic processing to extract clinically relevant parameters. Filtering-bas...
Ganesh Adluru, Tolga Tasdizen, Ross Whitaker, Edwa...