Angle- and volume-preserving mapping of organ volume model based on modified Self-organizing Deformable Model

Shoko Miyauchi, Ken'Ichi Morooka, Tokuo Tsuji, Yasushi Miyagi, Takaichi Fukuda, Ryo Kurazume

研究成果: 書籍/レポート タイプへの寄稿会議への寄与

1 被引用数 (Scopus)

抄録

This paper proposes a new method for mapping volume models of human organs onto a target volume with simple shapes. The proposed method is based on our modified Self-organizing Deformable Model (mSDM) which finds the one-to-one mapping with no foldovers between an arbitrary object surface model and a target surface. By extending mSDM to apply to organ volume models, the proposed method, called volumetric SDM (vSDM), establishes the one-to-one correspondence between the volume model and its target volume. At the same time, vSDM preserves geometrical properties of the original model before and after the mapping. In addition, vSDM allows to control the mapping of interior structures of the organ model onto specific regions inside the target volume. These characteristics of vSDM enables to easily find a reliable correspondence between different volume models via a common target volume.

本文言語英語
ホスト出版物のタイトル2016 23rd International Conference on Pattern Recognition, ICPR 2016
出版社Institute of Electrical and Electronics Engineers Inc.
ページ2204-2209
ページ数6
ISBN(電子版)9781509048472
DOI
出版ステータス出版済み - 1月 1 2016
イベント23rd International Conference on Pattern Recognition, ICPR 2016 - Cancun, メキシコ
継続期間: 12月 4 201612月 8 2016

出版物シリーズ

名前Proceedings - International Conference on Pattern Recognition
0
ISSN(印刷版)1051-4651

その他

その他23rd International Conference on Pattern Recognition, ICPR 2016
国/地域メキシコ
CityCancun
Period12/4/1612/8/16

!!!All Science Journal Classification (ASJC) codes

  • コンピュータ ビジョンおよびパターン認識

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