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ICIP
1994
IEEE
14 years 6 months ago
Tomographic Reconstruction Based on Flexible Geometric Models
When dealing with ill-posed inverse problems in data analysis, the Bayesian approach allows one to use prior information to guide the result toward reasonable solutions. In this w...
K. M. Hanson, G. S. Cunningham, G. R. Jennings Jr....
TIP
2010
160views more  TIP 2010»
12 years 11 months ago
Development and Optimization of Regularized Tomographic Reconstruction Algorithms Utilizing Equally-Sloped Tomography
We develop two new algorithms for tomographic reconstruction which incorporate the technique of equally-sloped tomography (EST) and allow for the optimized and flexible implementat...
Yu Mao, Benjamin P. Fahimian, Stanley Osher, Jianw...
ICIP
1999
IEEE
14 years 6 months ago
Uncertainties in Bayesian Geometric Models
Deformable geometric models fit very naturally into the context of Bayesian analysis. The prior probability of boundary shapes is taken to proportional to the negative exponential...
Kenneth M. Hanson, Gregory S. Cunningham, Robert J...
COMPIMAGE
2010
Springer
13 years 10 months ago
Direction-Dependency of a Binary Tomographic Reconstruction Algorithm
We study how the quality of an image reconstructed by a binary tomographic algorithm depends on the direction of the observed object in the scanner, if only a few projections are a...
László Varga, Péter Bal&aacut...
ICIP
2006
IEEE
13 years 11 months ago
Fast Iterative Adaptive Reconstruction in Low-Dose CT Imaging
in Proc. IEEE Int’l Conf. on Image Processing (ICIP), pp 889-892, 2006 Traditional iterative tomographic reconstruction methods resort to gradient decent methods and require sig...
Lin Cheng, Yunqiang Chen, Tong Fang, Jason Tyan