Distance compensation-based dual adaptive artifact removal algorithm in microwave breast tumor imaging system

Wang, Jingjing; Zhang, Mengmeng; Bai, Yuxi; Xu, Huaqing; Fan, Yucheng

doi:10.1016/j.bspc.2023.105598

Cited by 1 publication

(3 citation statements)

References 25 publications

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“…The breast phantom was exposed to an ultra-wideband microwave signal covering the frequency band from 2.5 to 8 GHz, striking a balance between penetration depth and image resolution [31]. In this study, the number of sampling points was set to 1001, which increased the calculation workload but also expanded the scanning distance of the VNA [28]. The VNA had an output power of 10 dBm.…”

Section: Methodsmentioning

confidence: 99%

“…The attenuation effect due to electromagnetic wave propagation is then compensated for, and the temporal entropy threshold of the grouped signals is adaptively selected. Finally, the signals are fed into an adaptive filter with variable filter parameters to reduce the artifacts prior to imaging [28]. After removing the artifacts, the signal received by antenna q j transmitting q i after preartifact removal is set to s i,j (n), where i and j are the antenna index and n denotes the time series.…”

Section: Time Delaymentioning

confidence: 99%

“…Based on the clinical investigation and analysis of patients with early breast tumors, it has been found that the diameter of breast tumors can range from 9 to 58 mm with an average diameter of 22.1 mm [35]. Additionally, it has been observed that the closer the tumor is to the skin, the higher the likelihood of lymph node metastasis, and the rehabilitation outcomes tend to be relatively poor [28]. Therefore, a cylindrical medium with a diameter of 10 mm and a thickness of 10 mm was inserted at appropriate coordinates (X = 17 mm, Y = −23 mm, Z = 45 mm) for simulating a near-skin tumor.…”

Section: Experimental Modelmentioning

confidence: 99%

See 2 more Smart Citations

Multiplicative Improved Coherence Factor Delay Multiply and Sum Algorithm for Clutter Removal in a Microwave Breast Tumor Imaging System

Guo,

Wang,

Liu

et al. 2024

Applied Sciences

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In the medical field, microwave imaging technology has experienced rapid development due to its non-invasive and non-radioactive nature. The confocal algorithm is a method commonly used for microwave breast cancer imaging, with the key objective of removing clutter in images to achieve high-quality results. However, the current methods are facing challenges in removing clutter. In order to reduce the clutter in images, a multiplicative improved coherence factor delay multiply and sum algorithm based on the maximum interclass differencing method is proposed. The algorithm compares the starting and ending moments of tumor signals in different channels to determine whether the tumor-scattered signals in different channels overlap in time. An improved coherence coefficient is obtained by summing the non-overlapping signals and multiplying the time window. The multiplicative improved coherence factor, which is obtained by multiplying the coherence coefficients of the improved multi-pair signals, is then multiplied by the focal point intensity obtained using the delay multiply and sum algorithm to reduce clutter in an image. To evaluate the performance of the proposed algorithm, several low-cost uniform and non-uniform models of human breast and tumor tissue with dielectric properties were prepared for testing. The experimental results show that, compared to the existing algorithm, the proposed algorithm can greatly reduce the clutter in images, with a signal-to-clutter ratio of at least 4 dB higher as well as contrast at least six-fold higher.

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Section: Methodsmentioning

confidence: 99%

Section: Time Delaymentioning

confidence: 99%