3.8 Article

Experimental Assessment of Axillary Lymph Node Microwave Tomography Using Anthropomorphic Phantoms

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IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/JERM.2023.3241777

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Axillary lymph node imaging; breast cancer; distorted Born iterative method (DBIM); limited angular information; medical microwave imaging; microwave tomography

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This paper assesses the application of microwave tomography (MWT) for the detection of axillary lymph nodes (ALNs) in breast cancer patients. The effects of limited angular view and the possibility of acquiring data in two consecutive steps are numerically studied. The experiments on anthropomorphic phantoms show that the MWT system can detect ALNs in different positions, and it is the first paper to assess ALN MWT in a realistic 3-D experimental scenario.
We assess the application of microwave tomography (MWT) for the detection of axillary lymph nodes (ALNs) in breast cancer patients. We numerically study the effects of limiting angular view in axillary MWT, as probes can only be placed on a limited arc around the axillary region. We also numerically study the possibility of increasing the amount of retrievable information by acquiring data in two consecutive steps, with a single antenna set in two different angular positions. We finally experimentally test axillary MWT on anthropomorphic phantoms with different levels of anatomical fidelity, and different ALN positions. Our MWT system (0.8-2.5 GHz) employs six monopole antennas placed on a single transverse plane, facing the axillary region. The reconstruction algorithm implements the distorted Born iterative method, combined with the two-step iterative shrinkage/thresholding for the inversion (DBIM-TwIST). Our numerical results i) highlight the challenges associated with the limited angular view, and ii) show that performing two-step angular measurements enhances imaging results, suggesting that rotating the antenna set between consecutive measurements is an effective means to increase the retrievable information in ALN MWT. Our experimental results show that our MWT system can detect an ALN in different positions. To the best of our knowledge this is the first paper to assess ALN MWT in a realistic 3-D experimental scenario.

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