A UWB imaging system to detect early breast cancer in heterogeneous breast phantom
This paper presents an experimental early breast cancer detection system in terms of heterogeneous breast phantom. The system consists of commercial Ultrawide-Band (UWB) transceivers and our developed Neural Network (NN) based Pattern Recognition (PR) software for imaging. A simple way to construct...
| Main Authors: | , , , , , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
IEEE
2011
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| Online Access: | http://psasir.upm.edu.my/id/eprint/48246/ http://psasir.upm.edu.my/id/eprint/48246/1/A%20UWB%20imaging%20system%20to%20detect%20early%20breast%20cancer%20in%20heterogeneous%20breast%20phantom.pdf |
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| author | Alshehri, Saleh Ali Jantan, Adznan Raja Abdullah, Raja Syamsul Azmir Mahmud, Rozi Khatun, Sabira Awang, Zaiki |
| author_facet | Alshehri, Saleh Ali Jantan, Adznan Raja Abdullah, Raja Syamsul Azmir Mahmud, Rozi Khatun, Sabira Awang, Zaiki |
| author_sort | Alshehri, Saleh Ali |
| building | UPM Institutional Repository |
| collection | Online Access |
| description | This paper presents an experimental early breast cancer detection system in terms of heterogeneous breast phantom. The system consists of commercial Ultrawide-Band (UWB) transceivers and our developed Neural Network (NN) based Pattern Recognition (PR) software for imaging. A simple way to construct cancer- tissue and heterogeneous breast phantom using available low cost materials and their mixtures is also proposed here. The materials are: (i) A mixture of petroleum jelly, soy oil, wheat flour and water as heterogeneous tissue; (ii) A particular glass as skin; and (iii) A specific mixture of water and wheat flour as cancer- tissue. All the materials and their mixtures are considered according to the ratio of the dielectric properties of the breast tissues. To experimentally detect cancer, the UWB signals are transmitted from one side of the breast phantom and received from opposite side diagonally. By using discrete cosine transform (DCT) of the received signals, a Neural Network (NN) is trained, tested and interfaced with the UWB transceiver to form the complete system. The achieved detection rate of cancer cell's existence, size and location are approximately 100%, 93.1% and 93.3% respectively. |
| first_indexed | 2025-11-15T10:15:42Z |
| format | Conference or Workshop Item |
| id | upm-48246 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T10:15:42Z |
| publishDate | 2011 |
| publisher | IEEE |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-482462019-05-29T06:56:43Z http://psasir.upm.edu.my/id/eprint/48246/ A UWB imaging system to detect early breast cancer in heterogeneous breast phantom Alshehri, Saleh Ali Jantan, Adznan Raja Abdullah, Raja Syamsul Azmir Mahmud, Rozi Khatun, Sabira Awang, Zaiki This paper presents an experimental early breast cancer detection system in terms of heterogeneous breast phantom. The system consists of commercial Ultrawide-Band (UWB) transceivers and our developed Neural Network (NN) based Pattern Recognition (PR) software for imaging. A simple way to construct cancer- tissue and heterogeneous breast phantom using available low cost materials and their mixtures is also proposed here. The materials are: (i) A mixture of petroleum jelly, soy oil, wheat flour and water as heterogeneous tissue; (ii) A particular glass as skin; and (iii) A specific mixture of water and wheat flour as cancer- tissue. All the materials and their mixtures are considered according to the ratio of the dielectric properties of the breast tissues. To experimentally detect cancer, the UWB signals are transmitted from one side of the breast phantom and received from opposite side diagonally. By using discrete cosine transform (DCT) of the received signals, a Neural Network (NN) is trained, tested and interfaced with the UWB transceiver to form the complete system. The achieved detection rate of cancer cell's existence, size and location are approximately 100%, 93.1% and 93.3% respectively. IEEE 2011 Conference or Workshop Item PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/48246/1/A%20UWB%20imaging%20system%20to%20detect%20early%20breast%20cancer%20in%20heterogeneous%20breast%20phantom.pdf Alshehri, Saleh Ali and Jantan, Adznan and Raja Abdullah, Raja Syamsul Azmir and Mahmud, Rozi and Khatun, Sabira and Awang, Zaiki (2011) A UWB imaging system to detect early breast cancer in heterogeneous breast phantom. In: International Conference on Electrical, Control and Computer Engineering (InECCE 2011), 21-22 June 2011, Kuantan, Pahang. (pp. 238-242). 10.1109/INECCE.2011.5953883 |
| spellingShingle | Alshehri, Saleh Ali Jantan, Adznan Raja Abdullah, Raja Syamsul Azmir Mahmud, Rozi Khatun, Sabira Awang, Zaiki A UWB imaging system to detect early breast cancer in heterogeneous breast phantom |
| title | A UWB imaging system to detect early breast cancer in heterogeneous breast phantom |
| title_full | A UWB imaging system to detect early breast cancer in heterogeneous breast phantom |
| title_fullStr | A UWB imaging system to detect early breast cancer in heterogeneous breast phantom |
| title_full_unstemmed | A UWB imaging system to detect early breast cancer in heterogeneous breast phantom |
| title_short | A UWB imaging system to detect early breast cancer in heterogeneous breast phantom |
| title_sort | uwb imaging system to detect early breast cancer in heterogeneous breast phantom |
| url | http://psasir.upm.edu.my/id/eprint/48246/ http://psasir.upm.edu.my/id/eprint/48246/ http://psasir.upm.edu.my/id/eprint/48246/1/A%20UWB%20imaging%20system%20to%20detect%20early%20breast%20cancer%20in%20heterogeneous%20breast%20phantom.pdf |