Automatic landmarking of cephalograms by cellular neural networks

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 3581 LNAI, Issue , 2005, Pages 333-342

  Giordano, Daniela ^a   Leonardi, Rosalia ^a   Maiorana, Francesco ^a   Cristaldi, Gabriele ^a   Distefano, Maria Luisa ^a  

^a UNIVERSITY OF CATANIA   (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; CELLULAR NEURAL NETWORKS; COMPUTER HARDWARE; EMBEDDED SYSTEMS; SOFTWARE PROTOTYPING; X RAYS;

CEPHALOGRAMS; LANDMARKS; ORTHODONTIST;

ORTHOTICS;

EID: 26944433401     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11527770_46     Document Type: Conference Paper

References (22)

1. Broadbent, B.H.: A New X-Ray Technique and its Application to Orthodontia. Angle Orthod. 51 (1981), 93-114
2. Kenneth, H.S., Tsang, S., Cooke, M.S.: Comparison of Cephalometric Analysis Using a Non-Radiographic Sonic Digitizer. European Journal of Orthodontics 21 (1999) 1-13
3. YiJ.Chen, S.K.Chen, H.F.Chang, Chen, K.C.: Comparison of Landmark Identification in Traditional vs Computer-Aided Digital Cephalometry, Angle orthod. 70 (2000) 387-392
4. Baumrind, S., Frantz, R.C.: The Reliability of Head Film Measurements Landmark Identification. American Journal Orthod. 60, 2 (1971) 111-127
5. Rakosi, T.: An Atlas and Manual of Cephalometric Radiography. Wolfe Medical Publications, London, 1982
6. Liu, J., Chen, Y., Cheng, K.: Accuracy of Computerized Automatic Identification of Cephalometric Landmarks. American Journal of Orthodontics and Dentofacial Orthopedics 118 (2000) 535-540
7. Hutton, T.J., Cunningham. S., Hammond, P.: An Evaluation of Active Shape Models for the Automatic Identification of Cephalometric Landmarks. European Journal of Orthodontics, 22 (2000), 499-508
8. Chua, L.O., Roska, T.: The CNN Paradigm. IEEE TCAS, 1, 40 (1993), 147-156
9. Levy-Mandel, A.D., Venetsamopolus, A.N., Tsosos, J.K.: Knowledge Based Landmarking of Cephalograms. Computers and Biomedical Research 19, (1986) 282-309
10. Parthasaraty, S., Nugent, S.T., Gregson, P.G., Fay, D.F.: Automatic Landmarking of Cephalograms. Computers and Biomedical research, 22 (1989), 248-269
11. th IEEE Int. Conf. on Engineering in Medicine & Biology (1990)
12. Davis, D.N., Taylor, C.J.: A Blackboard Architecture for Automating Cephalometric Analysis. Journal of Medical Informatics, 16 (1991) 137-149
13. Cardillo, J., Sid-Ahmed, M.A.: An Image Processing System for Locating Craniofacial Landmarks. IEEE Trans. On Medical Imaging 13 (1994) 275-289
14. Rudolph, D.J., Sinclair, P.M., Coggins, J.M.: Automatic Computerized Radiographic Identification of Cephalometric Landmarks. American Journal of Orthodontics and Dentofacial Orthopedics 113 (1998) 173-179
15. Chen, Y., Cheng, K., Liu, J.: Improving Cephalogram Analysis through Feature Subimage Extraction. IEEE Engineering in Medicine and Biology (1999) 25-31
16. El-Feghi, I.; Sid-Ahmed, M.A.; Ahmadi, M.: Automatic Localization of Craniofacial Landmarks for Assisted Cephalometry. Circuits and Systems, 2003. ISCAS '03. Proc. International Symposium on, 3 (2003), 630-633
17. Sanei, S., Sanaei, P., Zahabsaniesi, M.: Cephalograms Analysis Applying Template Matching and Fuzzy Logic. Image and Vision Computing 18 (1999) 39-48
18. Innes, A., Ciesilski, V., Mamutil, J., Sabu, J.: Landmark Detection for Cephalometric Radiology Images Using Pulse Coupled Neural Networks. In H. Arabnia and Y.Mun (eds.) Proc. Int. Conf. on Artificial Intelligence, 2 (2002) CSREA Press
19. th International Conference on Pattern Recognition 4 (2002) 393-396
20. Roska, T. et alii: CSL CNN Software Library. 1999 Budapest, Hungary
21. Szabo, T., Barsi, P., Szolgay, P. Application of Analogic CNN Algorithms in Telemedical Neuroradiology. Proc. 7th IEEE International Workshop on Cellular Neural Networks and their Applications, 2002. (CNNA 2002). 579 - 586
22. Aizemberg, I, Aizenberg, N., Hiltner, J., Moraga, C., Meyer zu Bexten, E.: Cellular Neural Networks and Computational Intelligence in Medical Image Processing. Image and Vision Computing 19 (2001) 177-183