Tissue surface model mapping onto arbitrary target surface based on self-organizing deformable model

Shoko Miyauchi, Kenichi Morooka, Yasushi Miyagi, Takaichi Fukuda, Tokuo Tsuji, Ryo Kurazume

Research output: Chapter in Book/Report/Conference proceedingConference contribution

8 Citations (Scopus)

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.

Original languageEnglish
Title of host publicationProceedings - 2013 4th International Conference on Emerging Security Technologies, EST 2013
Pages79-82
Number of pages4
DOIs
Publication statusPublished - 2013
Externally publishedYes
Event2013 4th International Conference on Emerging Security Technologies, EST 2013 - Cambridge, United Kingdom
Duration: Sept 9 2013Sept 11 2013

Publication series

NameProceedings - 2013 4th International Conference on Emerging Security Technologies, EST 2013

Conference

Conference2013 4th International Conference on Emerging Security Technologies, EST 2013
Country/TerritoryUnited Kingdom
CityCambridge
Period9/9/139/11/13

ASJC Scopus subject areas

  • Software

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