Investigation of lung lethargy deformation using finite element method

M. K. Zamani, M. Yamanaka, T. Miyashita, R. Ramli

研究成果: Conference contribution

1 被引用数 (Scopus)

抄録

Lung cancer has become one of most killing disease in 20th century. There are various external and internal causes identified by experts to be the causes of this disease. Various type of treatments have been developed taking account on the stage and condition of cancer itself, such as Radiation Therapy, Chemotherapy and Surgery. In this paper, a method called Thoracoscopy is focused for improvement by investigating a possibility of using finite element method (FEM) to predict deformation and movement of tumor during lung lethargy process as a preparation stage for this surgery method to be deployed. Thoracoscopy is suitable for stage-I cancer, as it will only create a small incisions on the skin and has high possibility to cure by removing the tumor. This paper used a commercial FEM tool to model lung in 3-dimension and by using tested data of material properties, a simulated result of lung lethargy process was compared with experimental data. Results revealed a few promising points to further develop this virtual capability and use it to predict deformation prior the surgery.

本文言語English
ホスト出版物のタイトル5th Kuala Lumpur International Conference on Biomedical Engineering 2011, BIOMED 2011
ページ170-174
ページ数5
DOI
出版ステータスPublished - 2011
イベント5th Kuala Lumpur International Conference on Biomedical Engineering, BIOMED 2011, Held in Conjunction with the 8th Asian Pacific Conference on Medical and Biological Engineering, APCMBE 2011 - Kuala Lumpur, Malaysia
継続期間: 2011 6月 202011 6月 23

出版物シリーズ

名前IFMBE Proceedings
35 IFMBE
ISSN(印刷版)1680-0737

Conference

Conference5th Kuala Lumpur International Conference on Biomedical Engineering, BIOMED 2011, Held in Conjunction with the 8th Asian Pacific Conference on Medical and Biological Engineering, APCMBE 2011
国/地域Malaysia
CityKuala Lumpur
Period11/6/2011/6/23

ASJC Scopus subject areas

  • バイオエンジニアリング
  • 生体医工学

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