Abstract
We propose to use statistical models of shape and texture as deformable anatomical atlases. By training on sets of labelled examples these can represent both the mean structure and appearance of anatomy in medical images, and the allowable modes of deformation. Given enough training examples such a model should be able synthesise any image of normal anatomy. By finding the parameters which minimise the difference between the synthesised model image and the target image we can locate all the modelled structure. This potentially time consuming step can be solved rapidly using the Active Appearance Model (AAM). In this paper we describe the models and the AAM algorithm and demonstrate the approach on structures in MR brain cross-sections.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Bajcsy, and Kovacic, A: Multiresolution elastic matching. Computer Graphics and Image Processing 46 (1989) 1–21
Bajcsy, R., Lieberson, R., and Reivich, M: A computerized system for the elastic matching of deformed radiographic images to idealized atlas images. J. Comput. Assis. Tomogr. 7 (1983) 618–625
Bookstein, F. L: Shape and the infromation in medical images: A decade of the morphometric synthesis. Computer Vision and Image Understanding 66,2 (1997), 97–118
Brett, A. D., and Taylor, C. J: A method of automatic landmark generation for automated 3D PDM construction. In: British Machine Vison Conference 2, (1998) 914–923
Brett, A. D., and Taylor, C. J: A framework for automated landmark generation for automated 3D statistical model construction. In: IPMI (1999)
Caunce, A., and Taylor, C: Using local geometry to build 3D sulcal models. In: IPMI (1999).
Caunce, A., and Taylor, C. J: 3D point distribution models of the cortical sulci. In: British Machine Vision Conference. (1997) 550–559
Christensen, G. E., Joshi, S. C., and Miller, M: Volumetric transformation of brain anatomy. IEEE Trans. Medical Image 16 (1997), 864–877
Christensen, G. E., Rabbitt, R. D., Miller, M. I., Joshi, S. C., Grenander, U., Coogan, T. A., and Essen, D. C. V: Topological Properties of Smooth Anatomic Maps. Kluwer Academic Publishers, (1995), 101–112
Cootes, T., Edwards, G. J., and Taylor, C. J: Active appearance models. In: ECCV (1998), 484–498
Cootes, T., and Taylor, C: Modelling object appearance using the grey-level surface. In: British Machine Vision Conference, (1994) 479–488
Cootes, T. F., Hill, A., Taylor, C. J., and Haslam, J: The use of active shape models for locating structures in medical images. Image and Vision Computing 12 (1994), 276–285
Cootes, T. F., Taylor, C. J., Cooper, D. H., and Graham, J: Active shape models-their training and application. Computer Vision and Image Understanding 61, (1995), 38–59.
Edwards, G. J., Taylor, C. J., and Cootes, T: Learning to identify and track faces in image sequences. In: British Machine Vison Conference (1997) 130–139
Fleute, M., and Lavallee, S: Building a complete surface model from sparse data using statistical shape models: Application to computer assisted knee surgery. In: MICCAI (1998) 878–887
Hill, A., Cootes, T. F., Taylor, C. J., and Lindley, K: Medical image interpretation: A generic approach using deformable templates. Journal of Medical Informatics 19 (1994) 47–59
Jones, M. J., and Poggio, T: Multidimensional morphable models. In: ICCV (1998) 683–688.
Maintz, J. B. A., and Viergever, M. A: A survey of medical image registration. Medical Image Analysis 2 (1998) 1–36
McInerney, T., and Terzopoulos, D: Deformable models in medical image analysis: a survey. Medical Image Analysis 1 (1996) 91–108
Nastar, C., Moghaddam, B., and Pentland, A: Generalized image matching: Statistical learning of physically-based deformations. In: ECCV Vol. 1 (1996) 589–598.
Press, W., Teukolsky, S., Vetterling, W., and Flannery, B: Numerical Recipes in C (2nd Edition). Cambridge University Press, (1992)
Sclaroff, S., and Isidoro, J: Active blobs. In: ICCV (1998) 1146–53
Subsol, G., Thirion, J. P., and Ayache, N: A general scheme for automatically building 3D morphometric anatomical atlases: application to a skull atlas. Medical Image Analysis 2 (1998) 37–60
Székely, G., Kelemen, A., Brechbühler, C., and Gerig, G: Segmentation of 2-D and 3-D objects from mri volume data using constrained elastic deformations of flexible fourier contour and surface models. Medical Image Analysis 1 (1996) 19–34
Wang, Y., and Staib, L. H: Elastic model based non-rigid registration incorporating statistical shape information. In MICCAI (1998) 1162–1173
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 1999 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Cootes, T.F., Beeston, C., Edwards, G.J., Taylor, C.J. (1999). A Unified Framework for Atlas Matching Using Active Appearance Models. In: Kuba, A., Šáamal, M., Todd-Pokropek, A. (eds) Information Processing in Medical Imaging. IPMI 1999. Lecture Notes in Computer Science, vol 1613. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-48714-X_24
Download citation
DOI: https://doi.org/10.1007/3-540-48714-X_24
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-66167-2
Online ISBN: 978-3-540-48714-2
eBook Packages: Springer Book Archive