Variational approach to tomographic reconstruction

Proceedings of SPIE - The International Society for Optical Engineering

Volumn 4322, Issue 1, 2001, Pages 30-39

  Kybic, J ^a   Blu, T ^a   Unser, M ^a  

^a EPFL   (Switzerland)

Author keywords

Filtered back projection; Reconstruction; Tomography; Variational

Indexed keywords

COMPUTERIZED TOMOGRAPHY; ITERATIVE METHODS; LINEAR EQUATIONS; MATHEMATICAL OPERATORS; MEASUREMENT THEORY; PROBABILITY DENSITY FUNCTION;

CLASSICAL FILTERED BACK PROJECTION;

IMAGE RECONSTRUCTION;

EID: 0034848988     PISSN: 0277786X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.431108     Document Type: Conference Paper

References (10)

1. A natural pixel decomposition for two-dimensional image reconstruction
2. Algebraic reconstruction techniques can be made computationally efficient
3. Preconditioning methods for improved convergence rates in iterative reconstruction
4. Spline functions and the problem of graduation
5. Splines minimizing rotation-invariant semi-norms in Sobolev spaces
6. Generalized sampling: A variational approach. Part I - Applications
7. Generalized sampling: A variational approach. Part II - Theory