Efficient symbolic signatures for classifying craniosynostosis skull deformities

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

Volumn 3765 LNCS, Issue , 2005, Pages 302-313

  Jill Lin, H ^a   Ruiz Correa, Salvador ^a,b   Sze, Raymond W ^a,b   Cunningham, Michael L ^a,b   Speltz, Matthew L ^a   Hing, Anne V ^b   Shapiro, Linda G ^a  

^a UNIVERSITY OF WASHINGTON   (United States)

^b SEATTLE CHILDREN S RESEARCH INSTITUTE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BODY FLUIDS; BRAIN; CODES (SYMBOLS); MEDICAL IMAGING; MEDICAL PROBLEMS; MORPHOLOGY; PRESSURE EFFECTS;

CEREBROSPINAL FLUID; INTRA-CRANIAL PRESSURE; SHAPE-BASED RETRIEVAL; SKULL MORPHOLOGIES;

ELECTRONIC DOCUMENT IDENTIFICATION SYSTEMS;

EID: 33646710828     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: None     Document Type: Conference Paper

References (19)

1. Dempster, A.P., Laird, N.M., Rubin, D.B.: Maximum likelihood from incomplete data via the EM algorithm. J. Royal Statist, Soc. B, 39 (1977)
2. Dryden I., Mardia K. V.: Statistical Shape Analysis. New York: John Wiley and Sons(1998)
3. Efron, B.: The Jackknife, the Bootstrap, and Other Resampling Plans. Society for Industrial and Applied Mathematics (1982)
4. Fata, J.J., Turner, M.S.: The reversal exchange technique of total calvarial reconstruction for sagittal synostosis. Plast. Reconst. Surg. 107 (2001) 1637-1646
5. Guimaras-Ferreira, J., Gewalli, F., David, L., Olsson, R., Freide, H., Lauritzen, G.G.K.: Spring-mediated cranioplasty compared with the modified pi-plasty for sagittal synostosis. Scand. J. Plast. Surg. Hand Surg. 37 (2003) 209-215
6. Haralick, R.M., Shapiro, L.G.: Computer and Robot Vision. Addison-Wesley (1992)
7. Hofmann, T.: Unsupervised learning by Probabilistic Latent Semantic Analysis. Machine Learning 42 (2001) 177-196
8. Lajeunie, E., Le Merrer, M., Marchac, C., Renier, D.: Genetic study of scaphocepaly. Am. J. Med. Gene. 62 (1996) 282-285
9. Lale, S.R., Richtsmeier, J.T.: An invariant approach to statistical analysis of shape. Chapman and Hall/CRC (2001).
10. Lin, H.J., Ruiz-Correa, S., Shapiro, L.G., Hing, A.V., Cunningham, M.L., Speltz, M.L., Sze, R.W.: Symbolic shape descriptors for classifying craniosynostosis deformations from skull imaging. In press, Proceedings of the IEEE Conference on Engineering in Medicine and Biology Society (2005).
11. Lynch, M., Walsh, B.: genetic and analysis of quantitative trait. Sinauer Associates (1998)
12. Panchal, J., Marsh, J.L., Park, T.S., Hauffman, B., Pilgram, T., Huang, S.H.: Sagittal craniosynostosis outcome assessment for two methods of timing and interventions. Plast. Reconstr. Surg. 103 (1999) 1574-1579
13. Rao, C.: Geometry of circular vectors and pattern recognition of shape of a boundary. Proc. Nat. Acad. Aci. 95 (2002) 12783
14. Ruiz-Correa, S., Shapiro, L.G., Meilǎ, M.: A new paradigm for recognizing 3-D object shapes from range data. IEEE International Conference on Computer Vision bf 2 (2003) 1126-1133
15. Ruiz-Correa, S., Sze, R.W., Lin, H.J., Shapiro, L.G., Speltz, M.L., Cunningham, M.L.: Classifying craniosynostosis deformations by skull shape imaging. In press, Proceedings of the IEEE Conference on Computer-Based Medical Systems (2005)
16. Ruiz-Correa, S., Sze, R.W., Starr, J.R., Hing, A.V., Lin, H.J., Cunningham, M.L.: A Fourier-based approach for quantifying sagittal synostosis head shape. American Cleft Palate-Craniofacial Association Meeting (2005)
17. Ruiz-Correa, S., Sze, R.W., Starr, J.R., Lin, H.J., Speltz, M.L., Cunningham, M.L., Hing, A.V.: New scaphocephalyseverity indices of sagittal craniosynostosis: A comparative study with cranial index quantifications. Submitted to the American Cleft Palate-Craniofacial Association Journal (2005)
18. Scholköpf, B., Smola, A.J.: Learning with Kernels. Cambridge University Press (2002)
19. Vapnik V.V.: Statistical Learning Theory. John Wiley and Sons (1998)