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Content Provider | IEEE Xplore Digital Library |
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Author | Yamazaki, N. Kobayashi, Y. Kikuchi, H. Isobe, Y. XiaoWei Lu Miyashita, T. Fujie, M.G. |
Copyright Year | 2014 |
Description | Author affiliation: Res. Inst. for Sci. & Eng., Waseda Univ., Tokyo, Japan (Kobayashi, Y.) || Grad. Schools of Creative Sci. & Eng., Waseda Univ., Tokyo, Japan (Kikuchi, H.; Isobe, Y.; XiaoWei Lu) || Fac. of the Grad. Sch. of Sci. & Eng., Waseda Univ., Tokyo, Japan (Miyashita, T.; Fujie, M.G.) || Grad. Schools of Adv. Sci. & Eng., Waseda Univ., Tokyo, Japan (Yamazaki, N.) |
Abstract | Recently, Radio Frequency Ablation (RFA) is becoming a popular therapy for various cancers such as liver, breast, or lung cancer. RFA is one kinds of thermal therapy. However, it has been often reported about excessive ablation or non-ablation due to difficult control of ablation energy. In order to solve these difficulties, we have been proposed robotized RF-ablation system for precise cancer treatment. We have been tried to control heat energy by control of electromagnetic-wave frequency. In this paper, we reported about relation among electrical impedance of lung, lung's internal air volumes, and heat energy by use of electromagnetic-wave. In case of RFA for lung cancer, heat energy depends on electrical impedance and lung's internal air volumes. Electrical impedance has the dependence of electromagnetic-wave frequency and the dependence of lung's internal air volumes. Therefore, firstly we considered about fractional calculus model between lung's internal air volumes and electrical impedance. Secondly, we measured electric impedance frequency characteristic of lung with change of lung's internal air volumes. The measured and modeled results showed that use of fractional calculus realized high accurate model for electrical impedance of lung. And, from the results of numerical analysis of heat energy, it is supposed that control of electromagnetic-wave frequency has a small effectiveness for lung tissue ablation even if lung includes abundant air. |
Sponsorship | IEEE Eng. Med. Biol. Soc. |
Starting Page | 5323 |
Ending Page | 5328 |
File Size | 997507 |
Page Count | 6 |
File Format | |
ISBN | 9781424479290 |
ISSN | 1557170X |
DOI | 10.1109/EMBC.2014.6944828 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2014-08-26 |
Publisher Place | USA |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Content Type | Text |
Resource Type | Article |
Subject | Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition |
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