Modeling the internal pressure dependence of thermal conductivity and in vitro temperature measurement for lung RFA

Nozomu Yamazaki, Hiroki Watanabe, Masatoshi Seki, Takeharu Hoshi, Yo Kobayashi, Tomoyuki Miyashita, Masakatsu G. Fujie

研究成果: Conference contribution

4 被引用数 (Scopus)

抄録

Radio frequency ablation (RFA) for lung cancer has increasingly been used over the past few years because RFA is minimally invasive treatment for patients. As a feature of RFA for the lung cancer, lung has the air having low thermal conductivity. Therefore, RFA for lung has the advantage that only the tumor is coagulated because heating area is confined to the immediate vicinity of the heating point. However, it is difficult for operators to control the precise formation of coagulation zones due to inadequate imaging modalities. We propose a method using numerical simulation to analyze the temperature distribution of the organ in order to overcome the current deficiencies. Creating an accurate thermophysical model was a challenging problem because of the complexities of the thermophysical properties of the organ. In this work, as the processes in the development of ablation simulator, measurement of the pressure dependence of lung thermal conductivity and in vitro estimation of the temperature distribution during RFA is presented.

元の言語English
ホスト出版物のタイトル33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2011
ページ5753-5757
ページ数5
DOI
出版物ステータスPublished - 2011 12 26
イベント33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2011 - Boston, MA, United States
継続期間: 2011 8 302011 9 3

出版物シリーズ

名前Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
ISSN(印刷物)1557-170X

Conference

Conference33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2011
United States
Boston, MA
期間11/8/3011/9/3

ASJC Scopus subject areas

  • Signal Processing
  • Biomedical Engineering
  • Computer Vision and Pattern Recognition
  • Health Informatics

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