Sparsity promoting regularization for effective noise suppression in SPECT image reconstruction-Reference-Cited by-同舟云学术

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Sparsity promoting regularization for effective noise suppression in SPECT image reconstruction

Published:2019-10-14 Issue:11 Volume:35 Page:115011
ISSN:0266-5611
Container-title:Inverse Problems
language:
Short-container-title:Inverse Problems

Author:

Zheng Wei,Li Si,Krol Andrzej,Ross Schmidtlein C^ORCID,Zeng Xueying,Xu Yuesheng^ORCID

Funder

The Science and Technology Program of Guangzhou, China

Special Project on High-performance Computing under the National Key R\&D Program

National Institutes of Health/National Cancer Institute Cancer Center

National Natural Science Foundation of China

US National Science Foundation

Publisher

IOP Publishing

Subject

Applied Mathematics,Computer Science Applications,Mathematical Physics,Signal Processing,Theoretical Computer Science

Link

https://iopscience.iop.org/article/10.1088/1361-6420/ab23da/pdf

Reference61 articles.

1. Proximal Alternating Minimization and Projection Methods for Nonconvex Problems: An Approach Based on the Kurdyka-Łojasiewicz Inequality

2. Convergence of descent methods for semi-algebraic and tame problems: proximal algorithms, forward–backward splitting, and regularized Gauss–Seidel methods

3. Convex Analysis and Monotone Operator Theory in Hilbert Spaces

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1. Inexact Fixed-Point Proximity Algorithm for the $$\ell _0$$ Sparse Regularization Problem;Journal of Scientific Computing;2024-07-08

2. 3D Poissonian image deblurring via patch-based tensor logarithmic Schatten-p minimization;Inverse Problems;2024-05-09

3. High quality low-dose SPECT reconstruction using CGAN-based transformer network with geometric tight framelet;Frontiers in Physics;2023-06-06

4. Experimental study of noise level optimization in brain single-photon emission computed tomography images using non-local means approach with various reconstruction methods;Nuclear Engineering and Technology;2023-05

5. Convergence rate analysis for fixed-point iterations of generalized averaged nonexpansive operators;Journal of Fixed Point Theory and Applications;2022-09

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