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Brain volume mapping for constructing volumetric statistical shape model
Author(s): Shoko Miyauchi; Ken'ichi Morooka; Yasushi Miyagi; Takaichi Fukuda; Ryo Kurazume
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Paper Abstract

We propose a new method for mapping onto a brain volume model including inner organs with complicated shapes such as lateral ventricles. The proposed method is based on a volumetric Self-organizing Deformable Model (vSDM) which allows to control the mapping positions of inner organs while preserving geometrical features before and after the mapping. The control sometimes causes the self-intersection of the volume model. The solution for the self-intersection in vSDM is to move vertices of the volume model. However, when the inner organ has complicated shape, the vertex movement cannot always correct the self-intersection. To solve this problem, we extend vSDM by introducing a new process of editing the mesh structure of the volume model. Moreover, by applying the proposed method to six brain volume models, a volumetric Statistical Shape Model (SSM) is constructed which represents the shape variations of not only brain surface but also brain inner organs. From experimental results, we confirmed the volumetric SSM has an acceptable performance compared with general surface SSMs generated by organ surface models.

Paper Details

Date Published: 27 March 2019
PDF: 6 pages
Proc. SPIE 11050, International Forum on Medical Imaging in Asia 2019, 110501C (27 March 2019); doi: 10.1117/12.2519819
Show Author Affiliations
Shoko Miyauchi, Kyushu Univ. (Japan)
Ken'ichi Morooka, Kyushu Univ. (Japan)
Yasushi Miyagi, Fukuoka Mirai Hospital (Japan)
Takaichi Fukuda, Kumamoto Univ. (Japan)
Ryo Kurazume, Kyushu Univ. (Japan)


Published in SPIE Proceedings Vol. 11050:
International Forum on Medical Imaging in Asia 2019
Feng Lin; Hiroshi Fujita; Jong Hyo Kim, Editor(s)

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