Abstract
It is known that deformation of the hippocampus shape is involved with several neurological diseases. In this paper, we propose a hybrid shape representation scheme, which consists of multiresolution skeletons, voxels and meshes for the shape analysis of the hippocampus. Initially, a hippocampal surface model is reconstructed from MRI and then it is placed into a canonical coordinate system, where the position, orientation and scaling are normalized. From the voxel representation of the hippocampus, multiresolution skeletons are extracted and Iterative Closest Point normalization is carried out. Then the shape similarity of two hippocampal models is computed with a hierarchical fashion. In addition, we have implemented a neural network based classifier to discriminate whether a hippocampal model is normal or not. Results indicate that the proposed hybrid representation and the skeleton-based normalization using ICP are very effective in 3D shape analysis of the hippocampus.
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Dean, D., Buckley, P., Bookstein, F., Kamath, J., Kwon, D., Friedman, L., Lys, C.: Three dimensional MR-based morphometric comparison of schizophrenic and normal cerebral ventricles. Vis. In: Biom. Computing. Lecture Notes in Comp. Sc., pp. 363–372 (1996)
Petrou, M., Bosdogianni, P.: Image Processing: The Fundamentals. John Wiley, Chichester (1999)
Vranic, D.V., Saupe, D.: 3D Model Retrieval. In: Proc. SCCG 2000, Budmerice, Slovakia, May 3-6, p. 89 (2000)
Paquet, E., Rioux, M.: Nefertiti: a Query by Content System for Three-Dimensional Model and Image Databases Management. Image and Vision Computing 17, 157 (1999)
William, E.L., Harvy, E.C.: Marching cubes: A high resolution 3D surface construction algorithm. Computer Graphics 21(4), 163–169 (1987)
Besl, P.J., McKay, N.D.: A Method for Registration of 3D Shapes. IEEE Trans. Pattern Analysis and Machine Intelligence 14(2), 239–256 (1992)
Zhang, Z.: Iterative point matching for registration of freeform curves and surfaces. International Journal of Computer Vision 13(2), 119–152 (1994)
Sordo, M.: Introduction to Neural Networks in Healthcare, Open Clinical Document (October 2002)
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© 2005 Springer-Verlag Berlin Heidelberg
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Kim, JS., Kim, YG., Choi, SM., Kim, MH. (2005). Shape Comparison of the Hippocampus Using a Multiresolution Representation and ICP Normalization. In: Khosla, R., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2005. Lecture Notes in Computer Science(), vol 3683. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11553939_34
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DOI: https://doi.org/10.1007/11553939_34
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-28896-1
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