Simulation study on size and location identification of tumors in liver tissue through eddy current distribution analysis
In identifying the location of tumors in the liver, eddy current characteristics analysis can be applied since the conductivity value of normal tissue and tissue with tumors are different, which are 2.88 mS/cm and 5.33 mS/cm, respectively at 1 MHz. In this letter, simulation based on small scale mag...
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my.utm.359122017-02-04T06:44:36Z http://eprints.utm.my/id/eprint/35912/ Simulation study on size and location identification of tumors in liver tissue through eddy current distribution analysis Zakaria, Z. Lee, Pick Yern Abdullah, A. A. Abdul Rahim, Ruzairi Mansor, M. S. B. Ayob, N. M. N. TK Electrical engineering. Electronics Nuclear engineering In identifying the location of tumors in the liver, eddy current characteristics analysis can be applied since the conductivity value of normal tissue and tissue with tumors are different, which are 2.88 mS/cm and 5.33 mS/cm, respectively at 1 MHz. In this letter, simulation based on small scale magnetic induction system was carried out. The system consists of a 10 cm diameter sensor jig and a cone type screen excitation coil as the primary field source. Simulation results showed that eddy current analysis is capable of identifying location and size of tumors in a liver tissue phantom. This result may have an impact in Magnetic Induction Tomography (MIT) research since MIT imaging modality is based on electrical conductivity property of the material of interest. IEEE 2012 Book Section PeerReviewed Zakaria, Z. and Lee, Pick Yern and Abdullah, A. A. and Abdul Rahim, Ruzairi and Mansor, M. S. B. and Ayob, N. M. N. (2012) Simulation study on size and location identification of tumors in liver tissue through eddy current distribution analysis. In: 2012 International Conference on Biomedical Engineering, ICoBE 2012. IEEE, New York, USA, pp. 602-604. ISBN 978-145771989-9 http://dx.doi.org/10.1109/ICoBE.2012.6178988 DOI:10.1109/ICoBE.2012.6178988 |
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TK Electrical engineering. Electronics Nuclear engineering Zakaria, Z. Lee, Pick Yern Abdullah, A. A. Abdul Rahim, Ruzairi Mansor, M. S. B. Ayob, N. M. N. Simulation study on size and location identification of tumors in liver tissue through eddy current distribution analysis |
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In identifying the location of tumors in the liver, eddy current characteristics analysis can be applied since the conductivity value of normal tissue and tissue with tumors are different, which are 2.88 mS/cm and 5.33 mS/cm, respectively at 1 MHz. In this letter, simulation based on small scale magnetic induction system was carried out. The system consists of a 10 cm diameter sensor jig and a cone type screen excitation coil as the primary field source. Simulation results showed that eddy current analysis is capable of identifying location and size of tumors in a liver tissue phantom. This result may have an impact in Magnetic Induction Tomography (MIT) research since MIT imaging modality is based on electrical conductivity property of the material of interest. |
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Book Section |
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Zakaria, Z. Lee, Pick Yern Abdullah, A. A. Abdul Rahim, Ruzairi Mansor, M. S. B. Ayob, N. M. N. |
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Zakaria, Z. Lee, Pick Yern Abdullah, A. A. Abdul Rahim, Ruzairi Mansor, M. S. B. Ayob, N. M. N. |
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Zakaria, Z. |
title |
Simulation study on size and location identification of tumors in liver tissue through eddy current distribution analysis |
title_short |
Simulation study on size and location identification of tumors in liver tissue through eddy current distribution analysis |
title_full |
Simulation study on size and location identification of tumors in liver tissue through eddy current distribution analysis |
title_fullStr |
Simulation study on size and location identification of tumors in liver tissue through eddy current distribution analysis |
title_full_unstemmed |
Simulation study on size and location identification of tumors in liver tissue through eddy current distribution analysis |
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simulation study on size and location identification of tumors in liver tissue through eddy current distribution analysis |
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IEEE |
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2012 |
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http://eprints.utm.my/id/eprint/35912/ http://dx.doi.org/10.1109/ICoBE.2012.6178988 |
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