Delineation and quantitation of brain lesions by fuzzy clustering in positron emission tomography

Computerized Medical Imaging and Graphics

Volumn 20, Issue 1, 1996, Pages 31-41

  Boudraa, Abd El Ouahab ^a   Champier, Jacques ^a   Cinotti, Luc ^b   Bordet, Jean Claude ^c   Lavenne, Franck ^b   Mallet, Jean Jacques ^a  

^a UNIVERSITÉ LYON 1   (France)

^b Ctr d'Exploration de Rech M   (France)

^c INSERM   (France)

Author keywords

Cluster; Fuzzy clustering; Lesion; Positron Emission Tomography; Segmentation

Indexed keywords

ALGORITHMS; BRAIN; COMPUTERIZED TOMOGRAPHY; DISEASES; IMAGE SEGMENTATION; PATIENT TREATMENT;

ANATOMICAL LOCALIZATION; BRAIN LESIONS; CLUSTERS; FUZZY CLUSTERING; QUANTITATION;

POSITRON EMISSION TOMOGRAPHY;

ALGORITHM; ARTICLE; BRAIN INJURY; IMAGE ANALYSIS; IMAGE PROCESSING; IMAGE RECONSTRUCTION; POSITRON EMISSION TOMOGRAPHY; PRIORITY JOURNAL;

EID: 0029777413     PISSN: 08956111     EISSN: None     Source Type: Journal    
DOI: 10.1016/0895-6111(96)00025-0     Document Type: Article

References (28)

1. 1. Müller, S.P.; Kijewski, M.F.; Moore, S.C.; Holman, B.L. Maximum-likelihood estimation: a mathematical model for quantitation in nuclear medicine. J. Nucl. Med. 31:1693-1701; 1990.
2. 2. Leichner, P.K.; Koral, K.F.; J Jaszczak, R.; Green, A.J.; Chen, G.T.Y.; Roeske, J.C. An overview of imaging techniques and physical aspects of treatment planning in radio-immunotherapy. Med. Phys. 20:569-577; 1993.
3. 3. Cairncross, J.G.; Pexman, J.H.W.; Rathbone, M.P.; DelMaestro, R.F. Postoperative contrast enhancement in patients with brain tumor. Ann. Neurol. 17:570-572; 1985.
4. 4. Burke, J.W.; Podrasky, A.E.; Bradely, W.G. Meninges: benign postoperative enhancement on MR images. Radiol. 174:99-102; 1990.
5. 5. Elster, A.D.; DiPersio, D.A. Cranial postoperative site: assessment with contrast-enhancement on MR imaging. Radiol. 174:93-98; 1990.
6. 6. Laohaprasit, V.; Silbergeld, D.L.; Ojemann, G.A.; Eskridge, J.M.; Winn, H.R. Postoperative CT contrast enhancement following lobectomy for epilepsy. J. Neurosurg. 73:392-395; 1990.
7. 7. Dooms, G.C.; Hecht, S.; Brant-Zawadzki, M.; Berthiaume, Y.; Normann, D.; Newton, T.H. Brain radiation lesions: MR imaging. Radiol. 158:149-155; 1986.
8. 8. Szabo, Z.; Camargo, E.E.; Sostre, S.; Shafique, I.; Sadzot, B.; Links, J.M.; Dannals, R.F.; Wagner, H.N.Jr. Factor analysis of regional cerebral glucose metabolic rates in healthy men. Eur. J. Nucl. Med. 19:469-475; 1992.
9. 9. Hölzer, T.; Herholz, K.; Jeske, J.; Heiss, W.D. FDG-PET as a prognostic indicator in radiochemotherapy of glioblastoma. J. Comput. Assist. Tomogr. 17:681-687; 1993.
10. 10. Raff, U.; Newman, F.D. Automated lesion detection and lesion quantitation in MR images using autoassociative memory. Med. Phys. 19:71-77; 1992.
11. 11. Leszczynski, K.W.; Shalev, S.; Cosby, N.S. The enhancement of radiotherapy verification images by an automated edge detection technique. Med. Phys. 19:611-621; 1992.
12. 12. Daniel, A.L.; Zuofen, L.; Drzymala, R.E. Minimization of target positioning error in accelerator-based radiosurgery. Med. Phys. 22:443-448; 1995.
13. 13. Lightstone, A.W.; Ramani, R.; O'Brien, P.F.; Gillies, B.A. Fluorescent screen video imaging for checking linac beams in dynamic stereotactic radiosurgery. Med. Phys. 21:1991-1996; 1994.
14. 14. Marks, J.E.; Hans, A.G.; Sutton, H.G.; Griem, M.L. Localization of Hodgkin's disease and malignant lymphoma with extented mangle field. Cancer 34:83-90; 1974.
15. 15. Gointein, M. Immobilization error: some theoretical considerations. Radiology 117:407-412; 1975.
16. 16. Kamp, Y.; Haster, M. Recursive neural networks for associative memory. New York: Wiley; 1990.
17. 17. Hummel, R.A.; Zucher, S.W. On the fundations of relaxation labeling process. IEEE Trans. Pattern Anal. Machine Intell. 5:267-287; 1983.
18. 18. Besag, J. On the statistical analysis of dirty pictures. J. Roy. Stat. Soc. 48:259-302; 1986.
19. 19. Kashyap, R.L.; Chellappa, R. Estimation and choice of neighbors in spatial interaction models of images. IEEE Trans. Inform. Theory 29:60-72; 1983.
20. 20. Choi, H.S.; Haynor, D.R.; Kim, Y. Partial volume tissue classification of multichannel magnetic resonance images a mixel model. IEEE Trans. Med. Imaging 10:395-407; 1991.
21. 21. Li, H.; Yang, H.S. Fast and reliable image enhancement using fuzzy relaxation technique. IEEE Trans. Pattern Anal. Machine Intell. 19:1276-1281; 1989.
22. 22. Kaufmann, A.; Gupta, M. Introduction to fuzzy arithmetic. New York: Van Nostrand; 1985.
23. 23. Pedrycz, W. Fuzzy sets in pattern recognition: methodology and methods. Pattern Recogn. 23:121-146; 1990.
24. 24. Bezdek, J.C.; Hathaway, R.J.; Sabin, M.J.; Tucker, W.T. Convergence theory for fuzzy c-means: counterexamples and repairs. IEEE. Trans. Syst. Man. Cybern. 17:873-877; 1987.
25. 25. Bezdek, J. C. Pattern recognition with fuzzy objective function algorithms. New York: Plenum; 1981.
26. 26. Bezdek, J.C.; Hathaway, R. Recent convergence results for fuzzy c-means clustering algorithms. J. Class. 5:237-247; 1988.
27. 27. Mazoyer, B.; Trebossen, R.; Shoukroun, C.; Verrey, B.; Syrota, A.; Vacher, J.; Lemasson, P.; Bouvier, O.; Lecomte, J.L. Physical characteristics of TTVO3, a new high spatial resolution time-of-flight positron tomograph. IEEE. Trans. Nucl. Sci. 37:778-782; 1990.
28. 28. Haberkorn, U.; Strauss, L.G.; Dimitrakopoulou, A.; Engenhart, R.; Oberdorfer, F.; Ostertag, H.; Romahn, J.; Van Kaick, G. PET studies of fluorodeoxyglucose metabolisms in patients with recurrent colorectal tumors receiving radiotherapy. J. Nucl. Med. 32:1485-1490; 1991.