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