Learned Shrinkage Approach for Low-Dose Reconstruction in Computed Tomography
نویسندگان
چکیده
منابع مشابه
Learned Shrinkage Approach for Low-Dose Reconstruction in Computed Tomography
We propose a direct nonlinear reconstruction algorithm for Computed Tomography (CT), designed to handle low-dose measurements. It involves the filtered back-projection and adaptive nonlinear filtering in both the projection and the image domains. The filter is an extension of the learned shrinkage method by Hel-Or and Shaked to the case of indirect observations. The shrinkage functions are lear...
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BACKGROUND AND OBJECTIVE Over the past decade, image quality in low-dose computed tomography has been greatly improved by various compressive sensing- (CS-) based reconstruction methods. However, these methods have some disadvantages including high computational cost and slow convergence rate. Many different speed-up techniques for CS-based reconstruction algorithms have been developed. The pur...
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ژورنال
عنوان ژورنال: International Journal of Biomedical Imaging
سال: 2013
ISSN: 1687-4188,1687-4196
DOI: 10.1155/2013/609274