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Algorithms for Non-Negatively Constrained Maximum Penalized Likelihood Reconstruction in Tomographic Imaging

Image reconstruction is a key component in many medical imaging modalities. The problem of image reconstruction can be viewed as a special inverse problem where the unknown image pixel intensities are estimated from the observed measurements. Since the measurements are usually noise contaminated, st...

Ausführliche Beschreibung

Gespeichert in:
1. Verfasser: Jun Ma
Format: Artigo
Sprache:Inglês
Veröffentlicht: MDPI AG 2013-03-01
Schriftenreihe:Algorithms
Schlagworte:
tomographic imaging
penalized likelihood
algorithms
constrained optimization
Online-Zugang:http://www.mdpi.com/1999-4893/6/1/136
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