Abstract
3-D shape comparison of anatomical objects is essential task in distinguishing between abnormal and normal organs. Such discrimination is also necessary in following up patients for the evaluation of treatments. This paper presents an efficient representation and analysis method for 3-D shape comparison based on a multiresolution approach. Initially, we reconstruct anatomical objects by adapting a multiresolution deformable surface model to the image pyramid with a coarse-to-fine fashion in order to avoid false surface. Then we interactively compare the reconstructed objects by multiresolution analysis based on an Octree structure. The partial comparison at specific location helps to focus on a region of interest within an anatomical structure and to detect local shape changes easily. We present some results of applying our method to the extracted brain cortical surfaces from MR images.
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References
Crudele, M., Clapworthy, G.J., Krokos, M.A., et al.: A Distributed Database on the INTERNET of 3D Models of Human Pathological Organs. In: IEEE Symposium on Computer Based Medical Systems, pp. 256–260 (1997)
Keim, D.A.: Efficient Geometry-based Similarity Search of 3D Spatial Databases. ACM SIGMOD 28(2), 419–430 (1999)
Horn, B.: Extended gaussian images. Proc. of the IEEE 72(12), 1671–1686 (1984)
Zhang, D., Hebert, M.: Harmonic maps and their applications in surface matching. In: IEEE Conf. on Computer Vision and Pattern Recognition (1999)
Skiena, S., Smith, W., Lemke, P.: Reconstructing sets from interpoint distances. In: Proc. of Sixth Annual Symp. on Computational Geometry, pp. 332–339 (1990)
Bardinet, E., Vidal, S.F., Arroyo, S.D., et al.: Structural object matching. TRDECSAI- 000303, Dept. of Computer Science and AI, University of Granada, Spain (February 2000)
Bloomenthal, J., Lim, C.: Skeletal methods of shape manipulation. In: Shape Modeling and Applications, pp. 44–47 (1999)
Hilaga, M., Shinagawa, Y., Kohmura, T., Kunii, T.L.: Topology Matching for Fully Automatic Similarity Estimation of 3D Shapes. In: The Proceeding of SIGGRAPH 2001, pp. 203–212 (2001)
Osada, R., Funkhouser, T., Chazelle, B., Dobkin, D.: Matching 3D Models with Shape Distribution. In: Proc. Shape Modeling Int’l (2001)
Park, J.-Y., McInerney, T., Terzopoulos, D., Kim, M.-H.: A Non-self-intersecting Adaptive Deformable Surface for Complex Boundary Extraction from Volumetric Images. Computers and Graphics 25(3), 421–440 (2001)
Lachaud, J.-O., Montanvert, A.: Deformable meshes with automated topology changes for coarse-to-fine three-dimensional surface extraction. Medical Image Analysis 3(1), 1–21 (1999)
Wilhems, J., Van Gelder, A.: Octrees for Faster Isosurface generation. ACM Transactions on Graphics 11(2), 201–227 (1992)
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© 2004 Springer-Verlag Berlin Heidelberg
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Choi, SM., Kim, JS., Kim, YG., Park, JY. (2004). 3-D Shape Analysis of Anatomical Structures Based on an Interactive Multiresolution Approach. In: Aizawa, K., Nakamura, Y., Satoh, S. (eds) Advances in Multimedia Information Processing - PCM 2004. PCM 2004. Lecture Notes in Computer Science, vol 3331. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30541-5_40
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DOI: https://doi.org/10.1007/978-3-540-30541-5_40
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-23974-1
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