Abstract
In this paper we propose a set of methods to describe, register and retrieve images of elongated structures from a database based on their shape content. Registration is performed based on an elastic matching algorithm that jointly takes into account the gross shape of the structure and the shape of its boundary, resulting in anatomically consistent deformations. The method determines a medial axis that represents the full extent of the structure with no branches. Discriminative anatomic features are computed from the results of registration and used as variables in a content-based image retrieval system. A case study on the morphology of the corpus callosum in the chromosome 22q11.2 deletion syndrome illustrates the effectiveness of the method and corroborates the hypothesis that retrieval systems may also act as knowledge discovery tools.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Barrodale, I., Skea, D., Berkley, M., Kuwahara, R., Poeckert, R.: Warping digital images using thin plate splines. Pattern Recognition 26(2), 375–376 (1993)
Blum, H., Nagel, R.N.: Shape description using weighted symmetric axis features. Pattern Recognition 10(3), 167–180 (1978)
Cootes, T., Hill, A., Taylor, C.J., Haslam, J.: Use of active shape models for locating structures in medical images. Image and Vision Computing 12(6), 355–365 (1994)
Davatzikos, C., Prince, J.: An active contour model for mapping the cortex. IEEE Transactions on Medical Imaging 14, 65–80 (1995)
Del Bimbo, A.: Visual Information Retrieval. Morgan Kaufmann, San Francisco (1999)
Dvies, E.R., Plummer, A.P.: Thinning algorithms: a critique and a new methodology. Pattern Recognition 14, 53–63 (1981)
Golland, P., Grimson, W.E.L., Kikinis, R.: Statistical shape analysis using fixed topology skeletons: Corpus callosum study. In: Kuba, A., Sámal, M., Todd-Pokropek, A. (eds.) IPMI 1999. LNCS, vol. 1613, pp. 382–387. Springer, Heidelberg (1999)
Gonzalez, R.C., Woods, R.E.: Digital Image Processing. Prentice-Hall, Upper Saddle River (2002)
Hamarneh, G., Abu-Gharbieh, R., McInerney, T.: Medial profiles for modeling deformation and statistical analysis of shape and their use in medical image segmentation. International Journal of Shape Modeling 10(2), 187–209 (2004)
Lew, M., Sebe, N., Djeraba, C., Jain, R.: Content-based multimedia information retrieval: State of the art and challenges. ACM Transactions on Multimedia Computing, Communications, and Applications 2(1), 1–19 (2006)
Machado, A., Simon, T., Nguyen, V., McDonald-McGinn, D., Zackai, E., Gee, J.: Corpus callosum morphology and ventricular size in chromosome 22q11.2 deletion syndrome. Brain Research 1131, 197–210 (2007)
McInerney, T., Terzopoulos, D.: Deformable models in medical image analysis: A survey. Medical Image Analysis 1(2), 91–108 (1996)
Muller, H., Michoux, N., Bandon, D., Geissbuhler, A.: A review of content-based image retrieval systems in medical applications-clinical benefits and future directions. International Journal of Medical Informatics 73(1), 1–23 (2004)
Pizer, S.M., Fletcher, P.T., Joshi, S., Thall, A., Chen, J.Z., Fritsch, D.S., Gash, A.G., Glotzer, J.M., Jiroutek, M.R., Lu, C., Muller, K.E., Tracton, G., Yushkevich, Chaney, E.: Deformable m-reps for 3D medical image segmentation. International Journal of Computer Vision 55(2), 85–106 (2003)
Pizer, S.M., Fritsch, D.S., Yushkevich, P., Johnson, V., Chaney, E.: Segmentation, registration and measurement of shape variation via image object shape. IEEE Transactions on Medical Imaging 18(10), 851–865 (1996)
Simon, T.J., Ding, L., Bish, J.P., McDonald-McGinn, D.M., Zackai, E.H., Gee, J.C.: Volumetric, connective, and morphologic changes in the brains of children with chromosome 22q11.2 deletion syndrome: an integrative study. Neuroimage 25, 169–180 (2005)
Smeulders, A., Worring, M., Santini, S., Gupta, A., Jain, R.: Content-based image retrieval at the end of the early years. IEEE Transactions on Pattern Analysis and Machine Intelligence 22(12), 1349–1380 (2000)
Staal, J.: Segmentation of elongated structures in medical imaging. PrintPartners Ipskamp, Enschede (2004)
Toga, A.W.: Brain Warping. Academic Press, New York (1999)
Toledo, R., Orriols, X., Binefa, X., Radeva, P., Vitria, J., Villanueva, J.: Tracking of elongated structures using statistical snakes. In: Proceedings of the CVPR, Hilton Head Island, pp. 157–162 (2000)
Xie, J., Heng, P.A.: Shape modeling using automatic landmarking. In: Duncan, J.S., Gerig, G. (eds.) MICCAI 2005. LNCS, vol. 3750, pp. 709–716. Springer, Heidelberg (2005)
Yushkevich, P., Fletcher, P.T., Joshi, S., Thall, A., Pizer, S.: Continuous medial representations for geometric object modeling in 2d and 3d. Image and Vision Computing 21(1), 17–28 (2003)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2008 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Machado, A.M.C., Teixeira, C.A.C. (2008). Content-Based Retrieval of Medical Images with Elongated Structures. In: Fred, A., Filipe, J., Gamboa, H. (eds) Biomedical Engineering Systems and Technologies. BIOSTEC 2008. Communications in Computer and Information Science, vol 25. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-92219-3_14
Download citation
DOI: https://doi.org/10.1007/978-3-540-92219-3_14
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-92218-6
Online ISBN: 978-3-540-92219-3
eBook Packages: Computer ScienceComputer Science (R0)