Reflection coefficient detection of simulation models for microwave imaging simulation system
The study was conducted based on two objectives as framework. The first objective is to determine the point of microwave signal reflection while penetrating into the simulation models and, the second objective is to analyze the reflection pattern when the signal penetrate into the layers with differ...
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| Format: | Article |
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IOS Press
2014
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| _version_ | 1796861263681159168 |
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| author | Sudirman, Rubita Seman, Norhudah Yong, Ching Yee Chew, Kim Mey |
| author_facet | Sudirman, Rubita Seman, Norhudah Yong, Ching Yee Chew, Kim Mey |
| author_sort | Sudirman, Rubita |
| collection | ePrints |
| description | The study was conducted based on two objectives as framework. The first objective is to determine the point of microwave signal reflection while penetrating into the simulation models and, the second objective is to analyze the reflection pattern when the signal penetrate into the layers with different relative permittivity, εr. Thus, several microwave models were developed to make a close proximity of the in vivo human brain. The study proposed two different layers on two different characteristics models. The radii on the second layer and the corresponding antenna positions are the factors for both models. The radii for model 1 is 60 mm with an antenna position of 10 mm away, in contrast, model 2 is 10 mm larger in size with a closely adapted antenna without any gap. The layers of the models were developed with different combination of materials such as Oil, Sandy Soil, Brain, Glycerin and Water. Results show the combination of Glycerin + Brain and Brain + Sandy Soil are the best proximity of the in vivo human brain grey and white matter. The results could benefit subsequent studies for further enhancement and development of the models. |
| first_indexed | 2024-03-05T19:53:42Z |
| format | Article |
| id | utm.eprints-62423 |
| institution | Universiti Teknologi Malaysia - ePrints |
| last_indexed | 2024-03-05T19:53:42Z |
| publishDate | 2014 |
| publisher | IOS Press |
| record_format | dspace |
| spelling | utm.eprints-624232017-06-14T01:31:48Z http://eprints.utm.my/62423/ Reflection coefficient detection of simulation models for microwave imaging simulation system Sudirman, Rubita Seman, Norhudah Yong, Ching Yee Chew, Kim Mey TK Electrical engineering. Electronics Nuclear engineering The study was conducted based on two objectives as framework. The first objective is to determine the point of microwave signal reflection while penetrating into the simulation models and, the second objective is to analyze the reflection pattern when the signal penetrate into the layers with different relative permittivity, εr. Thus, several microwave models were developed to make a close proximity of the in vivo human brain. The study proposed two different layers on two different characteristics models. The radii on the second layer and the corresponding antenna positions are the factors for both models. The radii for model 1 is 60 mm with an antenna position of 10 mm away, in contrast, model 2 is 10 mm larger in size with a closely adapted antenna without any gap. The layers of the models were developed with different combination of materials such as Oil, Sandy Soil, Brain, Glycerin and Water. Results show the combination of Glycerin + Brain and Brain + Sandy Soil are the best proximity of the in vivo human brain grey and white matter. The results could benefit subsequent studies for further enhancement and development of the models. IOS Press 2014 Article PeerReviewed Sudirman, Rubita and Seman, Norhudah and Yong, Ching Yee and Chew, Kim Mey (2014) Reflection coefficient detection of simulation models for microwave imaging simulation system. Bio-Medical Materials and Engineering, 24 (1). pp. 199-207. ISSN 0959-2989 http://dx.doi.org/10.3233/BME-130800 DOI:10.3233/BME-130800 |
| spellingShingle | TK Electrical engineering. Electronics Nuclear engineering Sudirman, Rubita Seman, Norhudah Yong, Ching Yee Chew, Kim Mey Reflection coefficient detection of simulation models for microwave imaging simulation system |
| title | Reflection coefficient detection of simulation models for microwave imaging simulation system |
| title_full | Reflection coefficient detection of simulation models for microwave imaging simulation system |
| title_fullStr | Reflection coefficient detection of simulation models for microwave imaging simulation system |
| title_full_unstemmed | Reflection coefficient detection of simulation models for microwave imaging simulation system |
| title_short | Reflection coefficient detection of simulation models for microwave imaging simulation system |
| title_sort | reflection coefficient detection of simulation models for microwave imaging simulation system |
| topic | TK Electrical engineering. Electronics Nuclear engineering |
| work_keys_str_mv | AT sudirmanrubita reflectioncoefficientdetectionofsimulationmodelsformicrowaveimagingsimulationsystem AT semannorhudah reflectioncoefficientdetectionofsimulationmodelsformicrowaveimagingsimulationsystem AT yongchingyee reflectioncoefficientdetectionofsimulationmodelsformicrowaveimagingsimulationsystem AT chewkimmey reflectioncoefficientdetectionofsimulationmodelsformicrowaveimagingsimulationsystem |