Contour detection-based realistic finite-difference-time-domain models for microwave breast cancer detection

Wang, Liang; Xiao, Xia; Song, Hang; Lü, Hong; Liu, Peifang

doi:10.1007/s12209-016-2843-3

Cited by 1 publication

(1 citation statement)

References 31 publications

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“…S(m, n) is the response signal corresponding to mth transmitting antenna and nth receiving antenna. 35 Since the details of the breast interior are unknown, the velocity of microwave signal in the breast calculated using the effective dielectric properties as,…”

Section: Confocal Imagingmentioning

confidence: 99%

Optimal microwave breast imaging using quality metrics and simulated annealing algorithm

Xiao

Liu

Song

et al. 2020

Int J RF Microw Comput Aided Eng

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Microwave breast imaging exploits dielectric contrasts between cancerous and healthy tissues at microwave frequencies to detect breast tumors. The estimation of breast optimal effective dielectric properties has a significant influence on the image quality. Recently, a novel method based on focal quality metrics (FQMs) has been proposed to investigate the patient‐specific effective dielectric properties. Although FQMs can be used to estimate the effective permittivity, the small increment of permittivity during the imaging process may lead to large computational resource consumption. In this article, an optimized microwave breast imaging method is proposed. In this method, a hybrid image quality metric is put forward which mixes the signal‐to‐clutter ratio (SCR) and focal quality metric. In addition, the simulated annealing algorithm is incorporated to facilitate image reconstruction. Experimental results demonstrate that using the proposed method, SCR is improved by 0.2 dB and tumor location error is reduced by 3.5 mm in realistic breast phantom.

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Section: Confocal Imagingmentioning

confidence: 99%