Data-Driven Gradient Regularization for Quasi-Newton Optimization in Iterative Grating Interferometry CT Reconstruction.
Stefano van GoghSubhadip MukherjeeMichal RawlikAlexandre PereiraSimon SpindlerMarie-Christine ZdoraMartin StauberZsuzsanna VargaMarco StampanoniPublished in: IEEE Trans. Medical Imaging (2024)
Keyphrases
- quasi newton
- data driven
- optimization methods
- optimization method
- step size
- image reconstruction
- fan beam
- newton method
- optimization procedure
- optimization problems
- medical imaging
- medical images
- global optimization
- optimization algorithm
- simulated annealing
- evolutionary algorithm
- objective function
- neural network training
- high resolution