Detection of Breast Tumor in Scattered Fibroglandular Breast Tissue Using Inverse Scattering Technique

Kismet Anak Hong Ping, Amy Sahida Soetarman, Bong Siaw Wee, Shafrida Sahrani, Dyg Norkhairunnisa Abg Zaidel, Dyg Azra Awang Mat, Mohammad Tariqul Islam, Md Zulfiker Mahmud, Toshifumi Moriyama

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In this paper, Forward-Backward Time-Stepping inverse scattering technique is utilized to detect the presence of malignant tumor in a scattered fibroglandular tissue of the breast. A 2D slice on the coronal plane from the 3D numerical scattered fibroglandular breast phantom is selected. The tumor is added into breast phantom with low contrast between the normal breast and malignant tumor tissue. Through numerous simulations, FBTS technique showed the ability to identify the presence of 6mm in diameter tumor embedded in fibroglandular tissue of the breast at low frequency. As frequency increases, this technique was unable to reconstruct the object under test (OUT) accurately. In order to solve this problem at higher frequency, Frequency-Hopping approach is then applied to integrate with the FBTS technique. The presence of tumor successfully detected and computational time is also reduced.

Original languageEnglish
Title of host publication2018 International Conference on Computational Approach in Smart Systems Design and Applications, ICASSDA 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781538683699
DOIs
Publication statusPublished - 28 Sep 2018
Event2018 International Conference on Computational Approach in Smart Systems Design and Applications, ICASSDA 2018 - Kuching, Serawak, Malaysia
Duration: 15 Aug 201817 Aug 2018

Other

Other2018 International Conference on Computational Approach in Smart Systems Design and Applications, ICASSDA 2018
CountryMalaysia
CityKuching, Serawak
Period15/8/1817/8/18

Fingerprint

Inverse Scattering
Tumors
Tumor
Scattering
Tissue
Phantom
Frequency Hopping
Frequency hopping
Time Stepping
Slice
Low Frequency
Integrate
Simulation

Keywords

  • Breast Tumor
  • Frequency-Hopping
  • Inverse Scattering

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Science Applications
  • Biomedical Engineering
  • Control and Systems Engineering
  • Mechanical Engineering
  • Control and Optimization

Cite this

Ping, K. A. H., Soetarman, A. S., Wee, B. S., Sahrani, S., Zaidel, D. N. A., Mat, D. A. A., ... Moriyama, T. (2018). Detection of Breast Tumor in Scattered Fibroglandular Breast Tissue Using Inverse Scattering Technique. In 2018 International Conference on Computational Approach in Smart Systems Design and Applications, ICASSDA 2018 [8477595] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICASSDA.2018.8477595

Detection of Breast Tumor in Scattered Fibroglandular Breast Tissue Using Inverse Scattering Technique. / Ping, Kismet Anak Hong; Soetarman, Amy Sahida; Wee, Bong Siaw; Sahrani, Shafrida; Zaidel, Dyg Norkhairunnisa Abg; Mat, Dyg Azra Awang; Islam, Mohammad Tariqul; Mahmud, Md Zulfiker; Moriyama, Toshifumi.

2018 International Conference on Computational Approach in Smart Systems Design and Applications, ICASSDA 2018. Institute of Electrical and Electronics Engineers Inc., 2018. 8477595.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Ping, KAH, Soetarman, AS, Wee, BS, Sahrani, S, Zaidel, DNA, Mat, DAA, Islam, MT, Mahmud, MZ & Moriyama, T 2018, Detection of Breast Tumor in Scattered Fibroglandular Breast Tissue Using Inverse Scattering Technique. in 2018 International Conference on Computational Approach in Smart Systems Design and Applications, ICASSDA 2018., 8477595, Institute of Electrical and Electronics Engineers Inc., 2018 International Conference on Computational Approach in Smart Systems Design and Applications, ICASSDA 2018, Kuching, Serawak, Malaysia, 15/8/18. https://doi.org/10.1109/ICASSDA.2018.8477595
Ping KAH, Soetarman AS, Wee BS, Sahrani S, Zaidel DNA, Mat DAA et al. Detection of Breast Tumor in Scattered Fibroglandular Breast Tissue Using Inverse Scattering Technique. In 2018 International Conference on Computational Approach in Smart Systems Design and Applications, ICASSDA 2018. Institute of Electrical and Electronics Engineers Inc. 2018. 8477595 https://doi.org/10.1109/ICASSDA.2018.8477595
Ping, Kismet Anak Hong ; Soetarman, Amy Sahida ; Wee, Bong Siaw ; Sahrani, Shafrida ; Zaidel, Dyg Norkhairunnisa Abg ; Mat, Dyg Azra Awang ; Islam, Mohammad Tariqul ; Mahmud, Md Zulfiker ; Moriyama, Toshifumi. / Detection of Breast Tumor in Scattered Fibroglandular Breast Tissue Using Inverse Scattering Technique. 2018 International Conference on Computational Approach in Smart Systems Design and Applications, ICASSDA 2018. Institute of Electrical and Electronics Engineers Inc., 2018.
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abstract = "In this paper, Forward-Backward Time-Stepping inverse scattering technique is utilized to detect the presence of malignant tumor in a scattered fibroglandular tissue of the breast. A 2D slice on the coronal plane from the 3D numerical scattered fibroglandular breast phantom is selected. The tumor is added into breast phantom with low contrast between the normal breast and malignant tumor tissue. Through numerous simulations, FBTS technique showed the ability to identify the presence of 6mm in diameter tumor embedded in fibroglandular tissue of the breast at low frequency. As frequency increases, this technique was unable to reconstruct the object under test (OUT) accurately. In order to solve this problem at higher frequency, Frequency-Hopping approach is then applied to integrate with the FBTS technique. The presence of tumor successfully detected and computational time is also reduced.",
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AU - Zaidel, Dyg Norkhairunnisa Abg

AU - Mat, Dyg Azra Awang

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AB - In this paper, Forward-Backward Time-Stepping inverse scattering technique is utilized to detect the presence of malignant tumor in a scattered fibroglandular tissue of the breast. A 2D slice on the coronal plane from the 3D numerical scattered fibroglandular breast phantom is selected. The tumor is added into breast phantom with low contrast between the normal breast and malignant tumor tissue. Through numerous simulations, FBTS technique showed the ability to identify the presence of 6mm in diameter tumor embedded in fibroglandular tissue of the breast at low frequency. As frequency increases, this technique was unable to reconstruct the object under test (OUT) accurately. In order to solve this problem at higher frequency, Frequency-Hopping approach is then applied to integrate with the FBTS technique. The presence of tumor successfully detected and computational time is also reduced.

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