DocumentCode :
651868
Title :
Tissue Surface Model Mapping onto Arbitrary Target Surface Based on Self-Organizing Deformable Model
Author :
Miyauchi, Shoko ; Morooka, Ken´ich ; Miyagi, Yasushi ; Fukuda, Toshio ; Tsuji, Takao ; Kurazume, Ryo
Author_Institution :
Grad. Sch. of Inf. Sci. & Electr. Eng., Kyushu Univ., Fukuoka, Japan
fYear :
2013
fDate :
9-11 Sept. 2013
Firstpage :
79
Lastpage :
82
Abstract :
This paper proposes a new method for mapping a tissue surface model onto an arbitrary target surface while preserving the geometrical features of the tissue surface. In our method, firstly, the tissue model is roughly deformed by using Self-organizing Deformable Model. Since the deformed model may contain folded patches, the folded patches are removed. Moreover, by Free-Form Deformation (FFD), and the area- and angle-preserving mapping, the model is mapped onto the target surface while preserving geometrical properties of the original model. From several experimental results, we can conclude that the proposed method can map tissue models onto arbitrary target surface without foldovers.
Keywords :
biological tissues; deformation; medical image processing; statistical analysis; FFD; angle-preserving mapping; arbitrary target surface; area-preserving mapping; folded patches; free-form deformation; geometrical feature preserving; medical images; self-organizing deformable model; tissue surface model mapping; Biomedical imaging; Brain modeling; Computational modeling; Deformable models; Rough surfaces; Shape; Surface roughness;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Emerging Security Technologies (EST), 2013 Fourth International Conference on
Conference_Location :
Cambridge
Type :
conf
DOI :
10.1109/EST.2013.34
Filename :
6680192
Link To Document :
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