Human Brain Phantom Modeling Based on Relative Permittivity Dielectric Properties
This study aims to investigate the clinical outcomes of human brain dielectric properties in order to build a human-like brain phantom using simple material. This artificial intelligence human brain was developed according to the dielectric properties of a real human brain. The regions cover grey ma...
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my.unimas.ir.458962024-08-30T02:52:01Z http://ir.unimas.my/id/eprint/45896/ Human Brain Phantom Modeling Based on Relative Permittivity Dielectric Properties Chew, Kim Mey Rubita, Sudirman Norhudah, Seman Yong, Ching Yee QA75 Electronic computers. Computer science This study aims to investigate the clinical outcomes of human brain dielectric properties in order to build a human-like brain phantom using simple material. This artificial intelligence human brain was developed according to the dielectric properties of a real human brain. The regions cover grey matter and white matter tissues. Elements used for phantom building demonstrate adequate internal consistency of er (relative permittivity) within 60-80 for a range of frequency from 1-6 GHz. A surprisingly finding, quantity of element sugar is the main reason of affecting the permittivity. The findings give a big step closer for building an artificial human brain without defect. 2012-07-23 Proceeding PeerReviewed text en http://ir.unimas.my/id/eprint/45896/1/P9.%20Human%20Brain%20Phantom%20Modeling%20Based%20on%20Relative%20Permittivity%20Dielectric%20Properties.pdf Chew, Kim Mey and Rubita, Sudirman and Norhudah, Seman and Yong, Ching Yee (2012) Human Brain Phantom Modeling Based on Relative Permittivity Dielectric Properties. In: 2012 International Conference on Biomedical Engineering and Biotechnology, 28-30 May 2012, Macau, Macao. https://ieeexplore.ieee.org/document/6245246 |
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QA75 Electronic computers. Computer science Chew, Kim Mey Rubita, Sudirman Norhudah, Seman Yong, Ching Yee Human Brain Phantom Modeling Based on Relative Permittivity Dielectric Properties |
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This study aims to investigate the clinical outcomes of human brain dielectric properties in order to build a human-like brain phantom using simple material. This artificial intelligence human brain was developed according to the dielectric properties of a real human brain. The regions cover grey matter and white matter tissues. Elements used for phantom building demonstrate adequate internal consistency of er (relative permittivity) within 60-80 for a range of frequency from 1-6 GHz. A surprisingly finding, quantity of element sugar is the main reason of affecting the permittivity. The findings give a big step closer for building an artificial human brain without defect. |
format |
Proceeding |
author |
Chew, Kim Mey Rubita, Sudirman Norhudah, Seman Yong, Ching Yee |
author_facet |
Chew, Kim Mey Rubita, Sudirman Norhudah, Seman Yong, Ching Yee |
author_sort |
Chew, Kim Mey |
title |
Human Brain Phantom Modeling Based on Relative Permittivity Dielectric Properties |
title_short |
Human Brain Phantom Modeling Based on Relative Permittivity Dielectric Properties |
title_full |
Human Brain Phantom Modeling Based on Relative Permittivity Dielectric Properties |
title_fullStr |
Human Brain Phantom Modeling Based on Relative Permittivity Dielectric Properties |
title_full_unstemmed |
Human Brain Phantom Modeling Based on Relative Permittivity Dielectric Properties |
title_sort |
human brain phantom modeling based on relative permittivity dielectric properties |
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2012 |
url |
http://ir.unimas.my/id/eprint/45896/1/P9.%20Human%20Brain%20Phantom%20Modeling%20Based%20on%20Relative%20Permittivity%20Dielectric%20Properties.pdf http://ir.unimas.my/id/eprint/45896/ https://ieeexplore.ieee.org/document/6245246 |
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1808981531826323456 |
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13.19449 |