Poisson intensity estimation for tomographic data using a wavelet shrinkage approach

We consider a two-dimensional (2-D) problem of positron-emission tomography (PET) where the random mechanism of the generation of the tomographic data is modeled by Poisson processes. The goal is to estimate the intensity function which corresponds to emission density. Using the wavelet-vaguelette d...

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Veröffentlicht in:	IEEE transactions on information theory 2002-10, Vol.48 (10), p.2794-2802
Hauptverfasser:	Cavalier, L., Ja-Yong Koo
Format:	Artikel
Sprache:	eng
Schlagworte:	Adaptive estimation Adaptive systems Convergence Convergence of numerical methods Data reduction Density Emission Estimating techniques Estimators Inverse problems Linear programming Mathematical models Minimax methods Minimax technique Nonlinear programming Optimal systems Optimization Poisson distribution Positron emission tomography Random processes Stochastic processes Tomography Wavelet transforms
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