Abstract
A 3D Partitioned Active Shape Model (PASM) is proposed in this paper to address the problems of the 3D Active Shape Models (ASM). When training sets are small. It is usually the case in 3D segmentation, 3D ASMs tend to be restrictive. This is because the allowable region spanned by relatively few eigenvectors cannot capture the full range of shape variability. The 3D PASM overcomes this limitation by using a partitioned representation of the ASM. Given a Point Distribution Model (PDM), the mean mesh is partitioned into a group of small tiles. In order to constrain deformation of tiles, the statistical priors of tiles are estimated by applying Principal Component Analysis to each tile. To avoid the inconsistency of shapes between tiles, training samples are projected as curves in one hyperspace instead of point clouds in several hyperspaces. The deformed points are then fitted into the allowable region of the model by using a curve alignment scheme. The experiments on 3D human brain MRIs show that when the numbers of the training samples are limited, the 3D PASMs significantly improve the segmentation results as compared to 3D ASMs and 3D Hierarchical ASMs.
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References
Cootes, T.F., Taylor, C.J.: Statistical Models of Appearance for Computer Vision. Technical Report, University of Manchester (2001)
Davatzikos, C., Tao, X., Shen, D.: Hierarchical active shape models, using the wavelet transform. IEEE Transactions on Medical Imaging 22(3), 414–423 (2003)
Ip, H.H.S., Shen, D.: An affine-invariant active contour model (ai-snake) for model-based segmentation. Image and Vision Computing 16(2), 125–146 (1998)
The internet brain segmentation repository (ibsr), avaliable at http://neuro.www.mgh.harvard.edu/cma/ibsr
Zhao, Z., Teoh, E.K.: A novel framework for automated 3D PDM construction using deformable models. In: Proc. Medical Imaging 2005: Image Processing, Proceedings of SPIE 2005 (SPIE MI 2005) (2005) (in press)
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Zhao, Z., Aylward, S.R., Teoh, E.K. (2005). A Novel 3D Partitioned Active Shape Model for Segmentation of Brain MR Images. In: Duncan, J.S., Gerig, G. (eds) Medical Image Computing and Computer-Assisted Intervention – MICCAI 2005. MICCAI 2005. Lecture Notes in Computer Science, vol 3749. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11566465_28
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DOI: https://doi.org/10.1007/11566465_28
Publisher Name: Springer, Berlin, Heidelberg
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