NDLI: Heating properties of non-invasive hyperthermia treatment for abdominal deep tumors by 3-D FEM

Content Provider	IEEE Xplore Digital Library
Author	Morita, E. Kato, K. Ono, S. Shindo, Y. Tsuchiya, K. Kubo, M.
Copyright Year	2009
Description	Author affiliation: Department of Mechanical Engineering Informatics, Meiji University, Kawasaki, Japan (Morita, E.; Kato, K.; Ono, S.; Shindo, Y.; Tsuchiya, K.) \|\| Future Creation Laboratory, Olympus Co., Ltd., Japan (Kubo, M.)
Abstract	This paper discusses the heating properties of a new type of hyperthermia system composed of a re-entrant type resonant cavity applicator for deep tumors of the abdominal region. In this method, a human body is placed in the gap of two inner electrodes and is non-invasively heated with electromagnetic fields stimulated in the cavity. Here, we calculated temperature distributions of a simple human abdominal phantom model that we constructed to examine the heating properties of the developed hyperthermia system. First, the proposed heating method and a simple abdominal model to calculate the temperature distribution are presented. Second, the computer simulation results of temperature distribution by 3-D FEM are presented. From these results, it was found that the proposed simple human abdominal phantom model composed of muscle, fat and lung was useful to test the heating properties of our heating method. Our heating method was also effective to non-invasively heat abdominal deep tumors.
Starting Page	3389
Ending Page	3392
File Size	944340
Page Count	4
File Format	PDF
ISBN	9781424432967
ISSN	1557170X
DOI	10.1109/IEMBS.2009.5332810
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-09-03
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Heat treatment Hyperthermia Abdomen Neoplasms Heating Humans Temperature distribution Imaging phantoms Resonance Applicators
Content Type	Text
Resource Type	Article
Subject	Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition

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