This work focuses on pulsed terahertz imaging for the application of surgical margin assessment of breast cancer. Various phantom tissue types and orientations are tested here to refine imaging methodology that can detect breast cancer up to 0.5-1.0 mm from the edge of the sample. The depth of the cancer within the sample is estimated using time of flight analysis of the reflected peaks in the pulsed time domain signal. Breast tissue phantoms have been designed to resemble fresh infiltrating ductal carcinoma, fibroglandular tissue, and fatty tissue of the breast to accomplish this work.
Tyler Bowman, Alec Walter, and Magda El-Shenawee, "Margin assessment of three-dimensional breast cancer phantoms using terahertz imaging," Proc. SPIE 9700, Design and Quality for Biomedical Technologies IX, 97000J (Presented at SPIE BiOS: February 14, 2016; Published: 18 March 2016); https://doi.org/10.1117/12.2212671.
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