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May 28, 2017 · Based on the traditional iterative reconstruction workflow, a fast iterative reconstruction algorithm FIRA is proposed.
Based on the traditional iterative reconstruction workflow, a fast iterative reconstruction algorithm FIRA is proposed. First, using the image feature ...
A 3D fast reconstruction algorithm capable of reconstructing the local LAC values for 64 energy values from 19.8 to 158.4 keV.
Missing: Hierarchy Tree.
A SIFT algorithm is used to extract feature points from the original images which are distributed on the hash nodes. During the process of image clustering ...
Abstract. Purpose: Recent reports indicate that model-based iterative reconstruction methods may improve image quality in computed tomography (CT).
In this paper we firstly introduce the structure tensor total variation (STV 1 ) penalty into SIR framework for low dose CT image reconstruction.
Missing: Tree. | Show results with:Tree.
All iterative reconstruction slightly improves spatial resolution and low contrast resolution at any given dose level, especially the model based types.
Missing: Condensed Hierarchy Tree.
GuangBo Lei, Ou Ruan: Fast Iterative Reconstruction Based on Condensed Hierarchy Tree. EIDWT 2017: 390-399. [c4]. view. electronic edition via DOI · unpaywalled ...
Fast Iterative Reconstruction Based on Condensed Hierarchy TreeFang Wan, Huazhong Jin, GuangBo Lei, Ou Ruan. 390-399 [doi] · An Optimal Model of Web Cache ...