Superiorized iteration algorithm for CT image simultaneous reconstruction and segmentation
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Publication:6648731
DOI10.3934/ipi.2024024MaRDI QIDQ6648731
Yaofei Lu, Xue-Cheng Tai, Shousheng Luo, Zhiting Liu
Publication date: 5 December 2024
Published in: Inverse Problems and Imaging (Search for Journal in Brave)
Nonconvex programming, global optimization (90C26) Biomedical imaging and signal processing (92C55) Radon transform (44A12) Inverse problems for integral equations (45Q05)
Cites Work
- Unnamed Item
- Unnamed Item
- Nonlinear total variation based noise removal algorithms
- An algorithm for total variation minimization and applications
- A first-order primal-dual algorithm for convex problems with applications to imaging
- Derivative-free superiorization: principle and algorithm
- Efficient projection algorithms onto the weighted \(\ell_1\) ball
- Convex object(s) characterization and segmentation using level set function
- High-order total variation regularization approach for axially symmetric object tomography from a single radiograph
- Fundamentals of Computerized Tomography
- Optimal approximations by piecewise smooth functions and associated variational problems
- Survey of fast algorithms for Euler's elastica-based image segmentation
- An algorithmic framework for Mumford–Shah regularization of inverse problems in imaging
- Image reconstruction from a small number of projections
- High-order total variation minimization for interior tomography
- Perturbation resilience and superiorization of iterative algorithms
- On Diagonally Relaxed Orthogonal Projection Methods
- Active contours without edges
- An extended primal-dual algorithm framework for nonconvex problems: application to image reconstruction in spectral CT
- Stable Image Reconstruction Using Transformed Total Variation Minimization
- Computed tomography reconstruction using deep image prior and learned reconstruction methods
- Joint image reconstruction and segmentation using the Potts model
- Limited Tomography Reconstruction Via Tight Frame and Simultaneous Sinogram Extrapolation
- Superiorization-based multi-energy CT image reconstruction
- XCT image reconstruction by a modified superiorized iteration and theoretical analysis
- Limited-Angle CT Reconstruction via the $L_1/L_2$ Minimization
- A fast method for simultaneous reconstruction and segmentation in X-ray CT application
- A dataset-free deep learning method for low-dose CT image reconstruction
- Convex analysis and monotone operator theory in Hilbert spaces
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