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TMI
2008
138views more  TMI 2008»
13 years 4 months ago
Dynamic Positron Emission Tomography Data-Driven Analysis Using Sparse Bayesian Learning
A method is presented for the analysis of dynamic positron emission tomography (PET) data using sparse Bayesian learning. Parameters are estimated in a compartmental framework usin...
Jyh-Ying Peng, John A. D. Aston, R. N. Gunn, Cheng...
AUTOMATICA
2005
137views more  AUTOMATICA 2005»
13 years 5 months ago
Multivariable frequency-response curve fitting with application to modal parameter estimation
This paper presents a computational approach for the frequency-domain identification of multivariable, discrete-time transfer function models based on a cost function minimization...
P. Verboven, P. Guillaume, B. Cauberghe
ICIP
2005
IEEE
13 years 11 months ago
3D reconstruction of localized objects from radiographs and based on multiresolution and sparsity
We address the reconstruction of a 3D image from a set of incomplete X-ray tomographic data. In the case where the image is composed of one or several objects lying in a uniform b...
Charles Soussen, Jérôme Idier
TMI
2008
116views more  TMI 2008»
13 years 5 months ago
Dynamic PET Reconstruction Using Wavelet Regularization With Adapted Basis Functions
Tomographic reconstruction from positron emission tomography (PET) data is an ill-posed problem that requires regularization. An attractive approach is to impose an 1-regularizatio...
J. Verhaeghe, Dimitri Van De Ville, I. Khalidov, Y...
WABI
2005
Springer
124views Bioinformatics» more  WABI 2005»
13 years 10 months ago
Reconstructing Metabolic Networks Using Interval Analysis
Recently, there has been growing interest in the modelling and simulation of biological systems. Such systems are often modelled in terms of coupled ordinary differential equation...
Warwick Tucker, Vincent Moulton