Mitigating the effects of breast and excitation-source misalignment in low-frequency breast cancer detection

OBJECTIVES: Accurate breast-tumor detection requires precise positioning of both the excitation source and the breast, as motion or misalignment can degrade imaging performance. This work presents a novel technique to compensate for this effect and to reliably identify tumor presence and 2-D localization in breast impressions. METHODS: A numerical alignment approach was developed to estimate source-breast misalignment via cross-correlation and compensate for the resulting displacement using Fourier-domain phase compensation. An electrically small 200-MHz loop antenna was used as a non-ionizing excitation source to provide adequate penetration. In addition, a method was developed to generate MRI-derived contralateral breast phantoms based on enantiomorphic breast anatomy, thereby enhancing simulation realism. RESULTS: Comprehensive simulations on a realistic heterogeneously dense breast model demonstrate that the proposed technique consistently detects tumors of varying sizes, depths, and locations under excitation-source and breast misalignment in the presence of AWGN with an SNR of 30 dB. The robustness of the method was further assessed under different noise levels. Quantitative positioning-error analysis confirms high localization accuracy, yielding an average positioning-error reduction of 85.75 % across the evaluated simulation scenarios. CONCLUSIONS: The proposed alignment method effectively mitigates excitation-source and breast misalignment in low-frequency breast imaging, enabling non-ionizing tumor detection with accurate 2-D localization.

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Publication Details

Journal
Biomedizinische Technik/Biomedical Engineering
Published
2026-09-15
DOI
https://doi.org/10.1515/bmt-2025-0479
Primary Topic
Microwave Imaging and Scattering Analysis
Type
article
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article

Mitigating the effects of breast and excitation-source misalignment in low-frequency breast cancer detection

Ahad Tavakoli, Ali M. Almuhlafi, Abdolali Abdipour, Ghazaleh Tashtarian et al.
Biomedizinische Technik/Biomedical Engineering
Microwave Imaging and Scattering Analysis
article

Mitigating the effects of breast and excitation-source misalignment in low-frequency breast cancer detection

Ahad Tavakoli, Ali M. Almuhlafi, Abdolali Abdipour, Ghazaleh Tashtarian, Omar M. Ramahi
article en

Abstract

OBJECTIVES: Accurate breast-tumor detection requires precise positioning of both the excitation source and the breast, as motion or misalignment can degrade imaging performance. This work presents a novel technique to compensate for this effect and to reliably identify tumor presence and 2-D localization in breast impressions. METHODS: A numerical alignment approach was developed to estimate source-breast misalignment via cross-correlation and compensate for the resulting displacement using Fourier-domain phase compensation. An electrically small 200-MHz loop antenna was used as a non-ionizing excitation source to provide adequate penetration. In addition, a method was developed to generate MRI-derived contralateral breast phantoms based on enantiomorphic breast anatomy, thereby enhancing simulation realism. RESULTS: Comprehensive simulations on a realistic heterogeneously dense breast model demonstrate that the proposed technique consistently detects tumors of varying sizes, depths, and locations under excitation-source and breast misalignment in the presence of AWGN with an SNR of 30 dB. The robustness of the method was further assessed under different noise levels. Quantitative positioning-error analysis confirms high localization accuracy, yielding an average positioning-error reduction of 85.75 % across the evaluated simulation scenarios. CONCLUSIONS: The proposed alignment method effectively mitigates excitation-source and breast misalignment in low-frequency breast imaging, enabling non-ionizing tumor detection with accurate 2-D localization.

Biomedizinische Technik/Biomedical Engineering
University of Waterloo (CA), Amirkabir University of Technology (IR), King Saud University (SA)
Good health and well-being
Openalex Percentile: Top 20%
Microwave Imaging and Scattering Analysis
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