Microwave power imaging for ultra-wide band early breast cancer detection

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Shao, W. (2012). Microwave power imaging for ultra-wide band early breast cancer detection. Unc Charlotte Electronic Theses And Dissertations.
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Abstract

Due to the critical need for complementary or/and alternative modalities to current X-ray mammography for early-stage breast cancer detection, a 3D active microwave imaging system has been developed. This thesis presents a detailed method for rapid, high contrast microwave imaging for the purpose of breast survey. In the proposed imaging system, several transmitters polarized in different directions take turns sending out a low-power UWB pulse into the breast; backscattered signals are recorded by a synthetic aperture antenna array. These backscattered signals are passed through a beamformer, which spatially focuses the waveforms to image backscattered energy as a function of location in the breast. A simple Delay-and-Sum algorithm is applied to test the proposed multistatic multi-polarized detection scheme. The obtained 2-D and 3-D numerical results have demonstrated the feasibility and superiority of detecting small malignant breast tumors using our antenna strategy. An improved algorithm of microwave power imaging for detecting small breast tumors within an MRI-derived phantom is also introduced. Our imaging results demonstrate that a high-quality image can be reached without solving the inverse problem. To set up an experimental system for future clinical investigation, we developed two Vivaldi antennas, which have a notable broad band property, good radiation pattern, and a suitable size for breast cancer detection. Finally, an antenna array which consists of eight proposed Vivaldi antennas is introduced. By conveniently moving up/down and rotating this antenna array, it can be used for the multistatic breast cancer imaging and qualified for our multi-polarized scan mode.

Details
Author

Shao, Wenyi

Title

Microwave power imaging for ultra-wide band early breast cancer detection

Physical Description

1 online resource (111 pages) : PDF

Date

2012

Degree Granting Institution

University of North Carolina at Charlotte

Abstract

Due to the critical need for complementary or/and alternative modalities to current X-ray mammography for early-stage breast cancer detection, a 3D active microwave imaging system has been developed. This thesis presents a detailed method for rapid, high contrast microwave imaging for the purpose of breast survey. In the proposed imaging system, several transmitters polarized in different directions take turns sending out a low-power UWB pulse into the breast; backscattered signals are recorded by a synthetic aperture antenna array. These backscattered signals are passed through a beamformer, which spatially focuses the waveforms to image backscattered energy as a function of location in the breast. A simple Delay-and-Sum algorithm is applied to test the proposed multistatic multi-polarized detection scheme. The obtained 2-D and 3-D numerical results have demonstrated the feasibility and superiority of detecting small malignant breast tumors using our antenna strategy. An improved algorithm of microwave power imaging for detecting small breast tumors within an MRI-derived phantom is also introduced. Our imaging results demonstrate that a high-quality image can be reached without solving the inverse problem. To set up an experimental system for future clinical investigation, we developed two Vivaldi antennas, which have a notable broad band property, good radiation pattern, and a suitable size for breast cancer detection. Finally, an antenna array which consists of eight proposed Vivaldi antennas is introduced. By conveniently moving up/down and rotating this antenna array, it can be used for the multistatic breast cancer imaging and qualified for our multi-polarized scan mode.

Genre

doctoral dissertations

Subjects--Topics

Electrical engineering
Biomedical engineering
Electromagnetism

Degree

Ph.D.

Keywords

Breast Cancer
Microwave Imaging
Ultra-Wide Band

Subject Area

Electrical Engineering

Advisor(s)

Adams, Ryan

Committee Members

Weldon, Thomas
Binkley, David
Gbur, Greg

Degree Note

Thesis (Ph.D.)--University of North Carolina at Charlotte, 2012.

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Rights Holder Information

Copyright is held by the author unless otherwise indicated.

Identifier

Shao_uncc_0694D_10308

Permalink

http://hdl.handle.net/20.500.13093/etd:1289