Automated seeds location for whole body NaF PET segmentation

IEEE Transactions on Nuclear Science

Volumn 52, Issue 5 I, 2005, Pages 1401-1405

  Grenier, Thomas ^a,b   Revol Muller, Chantal ^b   Costes, Nicolas ^c   Janier, Marc ^d   Gimenez, Gérard ^b,d  

^a IEEE   (France)

^b Res Applic Ctr Image Sign Proc   (France)

^c CERMEP IMAGERIE DU VIVANT   (France)

^d UNIVERSITÉ DE LYON   (France)

Author keywords

Image segmentation; PET image analysis; Region growing

Indexed keywords

PET IMAGE ANALYSIS; REGION GROWING;

IMAGE ANALYSIS; POSITRON EMISSION TOMOGRAPHY; TUMORS;

IMAGE SEGMENTATION;

EID: 29144457437     PISSN: 00189499     EISSN: None     Source Type: Journal    
DOI: 10.1109/TNS.2005.859354     Document Type: Article

References (12)

1. M. Blau, W. Nagler, and M. Bender, "Fluorine-18. A new isotope for bone scanning," J. Nucl. Med., vol. 3, pp. 332-332, 1962.
2. R. A. Hawkins, Y. Choi, S. C. Huang, C. K. Hoh, M. Dahlbom, C. Schiepers, N. Satyamurthy, J. R. Barrio, and M. E. Phelps, "Evaluation of the skeletal kinetics of fluorine-18-fluoride ion with PET," J Nucl. Med, vol. 33, pp. 633-42, 1992.
3. 18F] fluoride ion and PET," J. Comput. Assist. Tomogr., vol. 17, pp. 34-41, 1993.
4. G. J. Cook and I. Fogelman, "The role of positron emission tomography in the management of bone metastases," Cancer, vol. 88, pp. 2927-33, 2000.
5. N. R. Pal and S. K. Pal, "A review on image segmentation techniques," Pattern Recognit., vol. 26, pp. 1277-1294, 1993.
6. D. Pham, C. Xu, and J. L. Prince, "Current methods in medical image segmentation," Annu. Rev. Biomed. Eng., vol. 2, pp. 315-337, 2000.
7. M. Bentourkia, "A flexible image segmentation prior to parametric estimation," Comput. Med. Imaging Graph., vol. 25, pp. 501-6, 2001.
8. P. Mannequin, J. C. Liehn, and J. Valeyre, "Cluster analysis for automatic image segmentation in dynamic scintigraphies," Nucl. Med. Commun., vol. 11, pp. 383-93, 1990.
9. R. Adams and L. Bischof, "Seeded region growing," IEEE Trans. Pattern Anal. Mach. Intell., vol. 16, no. 6, pp. 641-647, Jun. 1994.
10. C. Revol and M. Jourlin, "A new maximum variance region growing algorithm for image segmentation," Pattern Recognit. Lett., vol. 18, pp. 249-258, 1997.
11. C. Revol-Muller, F. Peyrin, Y. Carrillon, and C. Odet, "Automated 3D region growing algorithm based on an assement function," Pattern Recognit. Lett., pp. 137-150, 2002.
12. S. C. Huang, "Anatomy of SUV. Standardized uptake value," Nucl. Med. Biol, vol. 27, pp. 643-6, 2000.