Tissue Sensing Adaptive Radar for Breast Cancer Detection—Experimental Investigation of Simple Tumor Models ()
Abstract
Microwave breast cancer detection is based on differences in electrical properties between healthy and malignant tis-sues. Tissue sensing adaptive radar (TSAR) has been proposed as a method of microwave breast imaging for early tu-mor detection.TSARsenses all tissues in the volume of interest and adapts accordingly. Simulation results have shown the feasibility of this system for detecting tumors of 4mmin diameter. In this paper, the second generation experimental system for TSAR is presented. Materials with electrical properties similar to those in the breast are used for the breast model. A resistively loaded Wu–King monopole antenna is fabricated, and re?ections from the breast model over the frequency range of 1–10 GHz are recorded. The re?ected signals are processed with the TSAR algorithm, which in-cludes improved skin subtraction and TSAR focusing algorithms. Various tumormodels are examined; speci?cally, a 1-cm tumor is detected with a signal-to-clutter ratio of 10.41 dB. Tumor detection with the experimental systemis evaluated and compared to simulation results.
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"Tissue Sensing Adaptive Radar for Breast Cancer Detection—Experimental Investigation of Simple Tumor Models," Journal of Cancer Therapy, Vol. 1 No. 1, 2009, pp. 1-8.
Conflicts of Interest
The authors declare no conflicts of interest.