Factor Analysis and the Retrieval of Medical Images Depicting Structures with Similar Shapes

Alexei Manso Correa Machado

Abstract

This work presents a new perspective to medical image retrieval based on factor analysis. The shape of anatomical structures are represented as high-dimensional sets of vector variables obtained from non-rigidly deforming a template image so as to align its anatomy with the subject anatomy of a group. By eliminating the redundancy embedded in the data, a reduced set of factors is determined, corresponding to new variables with possible anatomic significance. The method’s ability to retrieve relevant images is exemplified in a study of the corpus callosum, a structure with very subtle shape differences. The factor analysis approach is compared to principal component analysis in a set of 960 experiments, yielding significantly higher precision rates.

References

  1. Attalla, E. and Siy, P. (2005). Robust shape similarity retrieval based on contour segmentation polygonal multiresolution and elastic matching. Pattern Recogn, 38(12):2229-2241.
  2. Biswas, S., Aggarwal, G., and Chellappa, R. (2010). An efficient and robust algorithm for shape indexing and retrieval. IEEE T Multimedia, 12(5):372-385.
  3. Bookstein, F. L. (1997). Landmark methods for forms without landmarks:morphometrics of group differences in outline shape. Med Image Anal, 1(3):225-243.
  4. Cootes, T. and Taylor, C. J. (1999). A mixture model for representing shape variation. Image Vision Comput, 17(8):567-574.
  5. Gee, J. C. (1999). On matching brain volumes. Pattern Recogn, 32:99-111.
  6. Golland, P., Grimson, W. E. L., Shenton, M. E., and Kikinis, R. (2001). Deformation analysis for shape based classification. LNCS, 2082:517-530.
  7. Gonzalez, R. C. and Woods, R. E. (2002). Digital Image Processing. Prentice-Hall, Upper Saddle River.
  8. Iakovidis, D. K., Pelekis, N., Kotsifakos, E. E., Kopanakis, I., Karanikas, H., and Theodoridis, Y. (2009). A pattern similarity scheme for medical image retrieval. IEEE T Inf Technol B, 13(4):442-450.
  9. Le Briquer, L. and Gee, J. C. (1997). Design of a Statistical Model of Brain Shape. LNCS, 1230:477-482.
  10. Lew, M., Sebe, N., Djeraba, C., and Jain, R. (2006). Content-based multimedia information retrieval: State of the art and challenges. ACM T Multimedia Comput, 2(1):1-19.
  11. Lew, M. S. (2010). Principles of Visual Information Retrieval. Spring-Verlag, London.
  12. Machado, A., Gee, J. C., and Campos, M. (2004). Structural shape characterization via exploratory factor analysis. Artif Intell Med, 30:97-118.
  13. Mallik, J., Samal, A., and Gardner, S. L. (2010). A content based image retrieval system for a biological specimen collection. Comput Vision Image Und, 114:745- 757.
  14. Mohammed, A. A., Minhas, R., Wu, Q., and Sid-Ahmed, M. A. (2011). Human face recognition based on multidimensional pca and extreme learning machine. Pattern Recogn, 44:2588-2597.
  15. Muller, H., Michoux, N., Bandon, D., and Geissbuhler, A. (2004). A review of content-based image retrieval systems in medical applications-clinical benefits and future directions. Int J Med Inform, 73(1):1-23.
  16. Oliveira, J., Machado, A., Chavez, G., Lopes, A., Deserno, T., and Arajo, A. A. (2010). Mammosys: a contentbased image retrieval system using breast density patterns. Comput Meth Prog Bio, pages 289-297.
  17. Reyment, R. and Jöreskog, K. (1996). Applied Factor Analysis in the Natural Sciences. Cambridge University Press, Cambridge.
  18. Sclaroff, S. and Pentland, A. (1995). Modal matching for correspondence and recognition. IEEE T Pattern Anal, 17(6):545-561.
  19. Shu, X. and Wu, X. (2011). A novel contour descriptor for 2d shape matching and its application to image retrieval. Image Vision Comput, 29:286-294.
  20. Xie, J., Heng, P., and Shah, M. (2008). Shape matching and modeling using skeletal context. Pattern Recogn, 41(5):1756-1767.
  21. Xu, C. J., Liu, J. Z., and Tang, X. (2009). 2d shape matching by contour flexibility. IEEE T Pattern Anal, 31(1):180-186.
  22. Zhang, D. S. and Lu, G. J. (2004). Review of shape representation and description techniques. Pattern Recogn, 37:119.
Download


Paper Citation


in Harvard Style

Machado A. (2012). Factor Analysis and the Retrieval of Medical Images Depicting Structures with Similar Shapes . In Proceedings of the International Conference on Knowledge Discovery and Information Retrieval - Volume 1: KDIR, (IC3K 2012) ISBN 978-989-8565-29-7, pages 175-180. DOI: 10.5220/0004116901750180


in Bibtex Style

@conference{kdir12,
author={Alexei Manso Correa Machado},
title={Factor Analysis and the Retrieval of Medical Images Depicting Structures with Similar Shapes},
booktitle={Proceedings of the International Conference on Knowledge Discovery and Information Retrieval - Volume 1: KDIR, (IC3K 2012)},
year={2012},
pages={175-180},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004116901750180},
isbn={978-989-8565-29-7},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Knowledge Discovery and Information Retrieval - Volume 1: KDIR, (IC3K 2012)
TI - Factor Analysis and the Retrieval of Medical Images Depicting Structures with Similar Shapes
SN - 978-989-8565-29-7
AU - Machado A.
PY - 2012
SP - 175
EP - 180
DO - 10.5220/0004116901750180