Abstract
Microwave scanning of the breast would provide a technology for cancer detection and screening that is significantly safer than current methods involving radiation. This research focuses on finding the best way for accurate characterization of cancerous signals and normal signals using clinical data collected from a previously developed ultra wideband (UWB) antenna, BRATUMASS (Breast Tumor Microwave Sensor System). BRATUMASS which detects changes in dielectric constants within the breast. The signals collected from the microwave scanning procedure are reconstructed into a single, informative representation of the breast via diffraction tomography. This representation contains the information of the breast’s conductivity and the change in dielectric constants. We illustrate the feasibility of using Haralick features to make distinctions among breasts with a malignant tumor present and breasts with no malignancy in data collected from Shanghai Sixth People’s Hospital and Shanghai First People’s Hospital.
B.D. Fleet—This work is supported by the National Science Foundation (NSF) Graduate Research Fellowship under Grant No. DGE-0802267, NSF grant OCI-1122617 and the MSU Beacon Center. Any opinions, conclusions or recommendations expressed are those of the authors and do not necessarily reflect the views of the NSF.
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Fleet, B.D., Yan, J., Knoester, D.B., Yao, M., Deller, J.R., Goodman, E.D. (2014). Breast Cancer Detection Using Haralick Features of Images Reconstructed from Ultra Wideband Microwave Scans. In: Linguraru, M., et al. Clinical Image-Based Procedures. Translational Research in Medical Imaging. CLIP 2014. Lecture Notes in Computer Science(), vol 8680. Springer, Cham. https://doi.org/10.1007/978-3-319-13909-8_2
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