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ECAI
2006
Springer
14 years 2 days ago
A Learning Classifier Approach to Tomography
Tomography is an important technique for noninvasive imaging: images of the interior of an object are computed from several scanned projections of the object, covering a range of a...
Kees Joost Batenburg
IJCV
2002
227views more  IJCV 2002»
13 years 8 months ago
Calculating Dense Disparity Maps from Color Stereo Images, an Efficient Implementation
Abstract-- This paper presents an efficient implementation for correlation based stereo. Research in this area can roughly be divided in two classes: improving accuracy regardless ...
Karsten Mühlmann, Dennis Maier, Jürgen H...
ICIP
2009
IEEE
13 years 6 months ago
Randomness-in-Structured Ensembles for compressed sensing of images
Leading compressed sensing (CS) methods require m = O (k log(n)) compressive samples to perfectly reconstruct a k-sparse signal x of size n using random projection matrices (e.g., ...
Abdolreza A. Moghadam, Hayder Radha
TMI
1998
137views more  TMI 1998»
13 years 8 months ago
Dynamic Imaging and Tracer Kinetic Modeling for Emission Tomography Using Rotating Detectors
— When performing dynamic studies using emission tomography the tracer distribution changes during acquisition of a single set of projections. This is particularly true for some ...
Chi-Hoi Lau, David Dagan Feng, Brian F. Hutton, Da...
ISBI
2002
IEEE
14 years 9 months ago
Correction for external LOR effects in listmode reconstruction for PET
In PET imaging listmode is an alternative for projections to store the acquisition data with more accuracy. The reconstruction starting from the listmode format requires different...
Stefaan Vandenberghe, Yves D'Asseler, Rik Van de W...