Segmentation of magnetic resonance images using mean field annealing

Image and Vision Computing

Volumn 10, Issue 6, 1992, Pages 361-368

  Snyder, W ^a   Logenthiran, A ^b   Santago, P ^a   Link, K ^a   Bilbro, G ^c   Rajala, S ^c  

^a WAKE FOREST SCHOOL OF MEDICINE   (United States)

^b LUCENT TECHNOLOGIES   (United States)

^c NORTH CAROLINA STATE UNIVERSITY   (United States)

Author keywords

magnetic resonance; mean field annealing; optimization; restoration; segmentation; simulated annealing

Indexed keywords

EID: 38249011048     PISSN: 02628856     EISSN: None     Source Type: Journal    
DOI: 10.1016/0262-8856(92)90022-U     Document Type: Article

References (19)

1. Geometry guided segmentation of outdoor scenes
2. Image segmentation techniques
3. Rule-based interpretation with models of expected structure
4. Problems and approaches for tissue segmentation in 3D-MR imaging
5. Multi-spectral tissue classification of MR imagés using sensor fusion approaches
6. Stochastic relaxation, Gibbs distributions, and Bayesian restoration of images
7. Image segmentation using simple Markov field models
8. Mean field annealing, an application to image noise removal
9. Restoration of piecewise constant images via mean field annealing
10. Restoration of binary images using stochastic relaxation with annealing
11. Spatial interaction and the statistical analysis of lattice systems
12. Estimation and choice of neighbors in spatial-interaction model of images
13. Geometrical image transformation to compensate for MRI distortions
14. A model-based system for interpretation of MR human brain scans
15. Mean field approximation minimizes relative entropy
16. Signal Reconstruction using Mean Field Annealing
17. Range image restoration using mean field annealing