Abstract
Both volume and shape of the organs within the brain such as hippocampus indicate their abnormal neurological states such as epilepsy, schizophrenia, and Alzheimer’s diseases. This paper proposes a new method for the analysis of hippocampal shape using an integrated Octree-based representation, consisting of meshes, voxels, and skeletons. Initially, we create multi-level meshes by applying the Marching Cube algorithm to the hippocampal region segmented from MR images. Then, we convert the polygonal model to intermediate binary voxel representation by a depth-buffer based voxelization, which makes it easier to extract a 3-D skeleton as well as relate to original MR images. As a similarity measure between the shapes, we compute L 2 norm and Hausdorff distance for each sampled mesh by shooting the rays fired from the extracted skeleton. It also allows an interactive analysis because of the octree-based data structure. Moreover, it increases the speed of analysis without degrading accuracy by using a hierarchical level-of-detail approach.
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References
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. In: Höhne, K.H., Kikinis, R. (eds.) VBC 1996. LNCS, vol. 1131, pp. 363–372. Springer, Heidelberg (1996)
Pizer, S., Fritsch, D., Yushkevich, P., Johnson, V., Chaney, E.: Segmentation, registration, and measurement of shape variation via image object shape. IEEE Trans. Med. Imaging 18, 851–865 (1999)
Brechbühler, C., Gerig, G., Kübler, O.: Parameterization of closed surfaces for 3-D shape description. Computer Vision, Graphics, Image Processing 61, 154–170 (1995)
Shenton, M.E., Gerig, G., McCarley, R.W., Szekely, G., Kikinis, R.: Amygdala-hippocampal shape differences in schizophrenia: the application of 3D shape models to volumetric MR data. Psychiatry Research Neuroimaging 115, 15–35 (2002)
Styner, M., Lieberman, J.A., Gerig, G.: Boundary and Medical Shape Analysis of the Hippocampus in Schizophrenia. In: Ellis, R.E., Peters, T.M. (eds.) MICCAI 2003. LNCS, vol. 2879, pp. 464–471. Springer, Heidelberg (2003)
Lorensen, W.E., Cline, H.E.: Marching cubes: A high resolution 3D surface construction algorithm. Computer Graphics 21(4), 163–169 (1987)
Karabassi, E.A., Papaioannou, G., Theoharis, T.: A Fast Depth-Buffer-Based Voxelization Algorithm. Journal of Graphics Tools 4(4), 5–10 (1999)
Möller, T., Trumbore, B.: Fast, minimum storage ray-triangle intersection. Journal of Graphics Tools 2(1), 21–28 (1997)
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Kim, JS., Choi, SM., Choi, YJ., Kim, MH. (2004). Global and Local Shape Analysis of the Hippocampus Based on Level-of-Detail Representations. In: Zhang, J., He, JH., Fu, Y. (eds) Computational and Information Science. CIS 2004. Lecture Notes in Computer Science, vol 3314. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30497-5_79
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DOI: https://doi.org/10.1007/978-3-540-30497-5_79
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-24127-0
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