Coronary tree extraction from x-ray angiograms using marked point processes

2006 3rd IEEE International Symposium on Biomedical Imaging: From Nano to Macro - Proceedings

Volumn 2006, Issue , 2006, Pages 157-160

  Lacoste, Caroline ^a,b   Finet, Gérard ^a   Magnin, Isabelle E ^a  

^a UNIVERSITÉ DE LYON   (France)

^b French National Center for Scientific Research   (Singapore)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; ANGIOGRAPHY; MARKOV PROCESSES; MATHEMATICAL MODELS; MONTE CARLO METHODS; OPTIMIZATION; SIMULATED ANNEALING;

ANGIOGRAMS; CORONARY TREE; POLYGON TREE; X RAY ANGIOGRAPHY;

CARDIOVASCULAR SYSTEM;

EID: 33750937753     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (5)

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2. A. Baddeley and M. N. M. van Lieshout, "Stochastic geometry models in high-level vision.," Statistics and Images, vol. 1, pp. 233-258, 1993.
3. C. Lacoste, X. Descombes, and J. Zerubia, "Point processes for unsupervised line network extraction in remote sensing," IEEE Trans. on PAMI, vol. 27, no. 10, pp. 1568-1579, 2005.
4. C. Lacoste, X. Descombes, J. Zerubia, and N. Baghdadi, "Unsupervised line network extraction from remotely sensed images by polyline process," in EUSIPCO, Vienna, Austria, September 2004.
5. P.J. Green, "Reversible jump Markov chain Monte-Carlo computation and Bayesian model determination," Biometrika, vol. 57, pp. 97-109, 1995.