Noise suppression for dual-energy CT via penalized weighted least-square optimization with similarity-based regularization
نویسندگان
چکیده
منابع مشابه
Analytical Noise Treatment for Low-Dose CT Projection Data by Penalized Weighted Least-Square Smoothing in the K-L Domain
By analyzing the noise properties of calibrated low-dose Computed Tomography (CT) projection data, it is clearly seen that the data can be regarded as approximately Gaussian distributed with a nonlinear signal-dependent variance. Based on this observation, a penalized weighted least-square (PWLS) smoothing framework is a choice for an optimal solution. It utilizes the prior variance-mean relati...
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ژورنال
عنوان ژورنال: Medical Physics
سال: 2016
ISSN: 0094-2405
DOI: 10.1118/1.4947485