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.
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This work was supported by Grant-in-Aid for JSPS Research Fellow 16J03878 and JSPS KAKENHI 16K00243.
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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
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DOI: https://doi.org/10.1007/978-3-319-51237-2_4
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