Conjugate-gradient preconditioning methods for shift-variant PET image reconstruction
From MaRDI portal
Publication:4503290
DOI10.1109/83.760336zbMath1099.94502OpenAlexW2168543121WikidataQ47919480 ScholiaQ47919480MaRDI QIDQ4503290
Jeffrey A. Fessler, Scott D. Booth
Publication date: 6 September 2000
Published in: IEEE Transactions on Image Processing (Search for Journal in Brave)
Full work available at URL: http://hdl.handle.net/2027.42/85979
Biomedical imaging and signal processing (92C55) Image processing (compression, reconstruction, etc.) in information and communication theory (94A08)
Related Items (11)
Primal-dual algorithms for total variation based image restoration under Poisson noise ⋮ A special Hermitian and skew-Hermitian splitting method for image restoration ⋮ New variant of the HSS iteration method for weighted Toeplitz regularized least-squares problems from image restoration ⋮ A new block preconditioner for weighted Toeplitz regularized least-squares problems ⋮ Accelerated GNHSS iterative method for weighted Toeplitz regularized least-squares problems from image restoration ⋮ Compressive Computed Tomography Reconstruction through Denoising Approximate Message Passing ⋮ Robust regression for mixed Poisson-Gaussian model ⋮ Photoacoustic and Thermoacoustic Tomography: Image Formation Principles ⋮ Splitting with Near-Circulant Linear Systems: Applications to Total Variation CT and PET ⋮ A new iterative method for a class of linear system arising from image restoration problems ⋮ The Mojette transform: Discrete angles for tomography
This page was built for publication: Conjugate-gradient preconditioning methods for shift-variant PET image reconstruction