Abstract
This paper proposes a new method for describing parenchymatous organs by the set of volumetric primitives with simple shapes. The proposed method is based on our modified Self-organizing Deformable Model (mSDM) which maps an object surface model onto a target surface with no foldovers. By extending mSDM to apply to organ volume models, the proposed method, volumetric SDM (vSDM), finds the one-to-one correspondence between the volume model and its target volume. During the mapping, vSDM preserves geometrical properties of the original model while mapping internal structures of the model onto their corresponding primitives inside of the target volume. Owing to these characteristics, vSDM enables to obtain a new volume representation of organ volume models which simultaneously (1) represents by simple primitives the shapes of the whole organ and its internal structures and (2) describes the relationship among the external surface and internal structures of the organ.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsReferences
Athanasiadis, T., Fudos, I., Nikou, C., Stamati, V.: Feature-based 3D morphing based on geometrically constrained sphere mapping optimization. In: Proceedings of 2010 ACM Symposium on Applied Computing, pp. 1258–1265. ACM (2010)
Dehne, F.: Algorithms and Data Structures: Third Workshop, Montreal, Canada, 11–13 August 1993, WADS 1993. LNCS, vol. 709. Springer, Heidelberg (1993)
Hu, J., Zou, G.J., Hua, J.: Volume-preserving mapping and registration for collective data visualization. IEEE Trans. Vis. Comput. Graph. 20(12), 2664–2673 (2014)
Lam, K.C., Gu, X., Lui, L.M.: Genus-one surface registration via Teichmüller extremal mapping. In: Golland, P., Hata, N., Barillot, C., Hornegger, J., Howe, R. (eds.) MICCAI 2014. LNCS, vol. 8675, pp. 25–32. Springer, Heidelberg (2014). doi:10.1007/978-3-319-10443-0_4
Li, X., Xu, H., Wan, S., Yin, Z., Yu, W.: Feature-aligned harmonic volumetric mapping using MFS. Comput. Graph. 34(3), 242–251 (2010)
Miyauchi, S., Morooka, K., Tsuji, T., Miyagi, Y., Fukuda, T., Kurazume, R.: Area- and angle-preserving parameterization for vertebra surface mesh. In: Yao, J., Glocker, B., Klinder, T., Li, S. (eds.) Recent Advances in Computational Methods and Clinical Applications for Spine Imaging. LNCVB, vol. 20, pp. 187–198. Springer, Heidelberg (2015). doi:10.1007/978-3-319-14148-0_16
Miyauchi, S., Morooka, K., Miyagi, Y., Fukuda, T., Tsuji, T., Kurazume, R.: Tissue surface model mapping onto arbitrary target surface based on self-organizing deformable model. In: 2013 Fourth International Conference on Emerging Security Technologies (EST), pp. 79–82. IEEE (2013)
Miyauchi, S., Morooka, K., Tsuji, T., Miyagi, Y., Fukuda, T., Kurazume, R.: Angle- and volume-preserving mapping based on modified self-organizing deformable model. In: 23rd International Conference on Pattern Recognition (2016)
Miyauchi, S., Morooka, K., Tsuji, T., Miyagi, Y., Fukuda, T., Kurazume, R.: A method for mapping tissue volume model onto target volume using volumetric self-organizing deformable model. In: SPIE Medical Imaging, p. 97842Z. International Society for Optics and Photonics (2016)
Morooka, K., Nagahashi, H.: Self-organizing deformable model: a new method for fitting mesh model to given object surface. In: Bebis, G., Boyle, R., Koracin, D., Parvin, B. (eds.) ISVC 2005. LNCS, vol. 3804, pp. 151–158. Springer, Heidelberg (2005). doi:10.1007/11595755_19
Sederberg, T.W., Parry, S.R.: Free-from deformation of solid geometric models. Proc. ACM SIGGRAPH Comput. Graph. 20(4), 151–160 (1986)
Shi, R., Zeng, W., Su, Z., Damasio, H., Lu, Z., Wang, Y., Yau, S.T., Gu, X.: Hyperbolic harmonic mapping for constrained brain surface registration. In: Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, pp. 2531–2538 (2013)
Acknowledgment
This work was supported by Grant-in-Aid for JSPS Research Fellow 16J03878 and JSPS KAKENHI 16K00243.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2016 Springer International Publishing AG
About this paper
Cite this paper
Miyauchi, S., Morooka, K., Tsuji, T., Miyagi, Y., Fukuda, T., Kurazume, R. (2016). Volume Representation of Parenchymatous Organs by Volumetric Self-organizing Deformable Model. In: Reuter, M., Wachinger, C., Lombaert, H. (eds) Spectral and Shape Analysis in Medical Imaging. SeSAMI 2016. Lecture Notes in Computer Science(), vol 10126. Springer, Cham. https://doi.org/10.1007/978-3-319-51237-2_4
Download citation
DOI: https://doi.org/10.1007/978-3-319-51237-2_4
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-51236-5
Online ISBN: 978-3-319-51237-2
eBook Packages: Computer ScienceComputer Science (R0)