Adaptively Tuned Iterative Low Dose CT Image Denoising

Improving image quality is a critical objective in low dose computed tomography (CT) imaging and is the primary focus of CT image denoising. State-of-the-art CT denoising algorithms are mainly based on iterative minimization of an objective function, in which the performance is controlled by regular...

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Veröffentlicht in:	Computational and mathematical methods in medicine 2015-01, Vol.2015 (2015), p.1-12
Hauptverfasser:	Cobbold, Richard S. C., Beheshti, S., Paul, Narinder S., Hashemi, SayedMasoud
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Computational Biology Humans Imaging, Three-Dimensional - methods Imaging, Three-Dimensional - statistics & numerical data Lung - diagnostic imaging Models, Statistical Phantoms, Imaging Radiation Dosage Radiographic Image Interpretation, Computer-Assisted - methods Signal-To-Noise Ratio Tomography, X-Ray Computed - methods Tomography, X-Ray Computed - statistics & numerical data
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