Abstract

Early and accurate detection of breast cancer is a critical part of the strategy to reduce morbidity and mortality associated with this common disease. This work’s main objective is to develop a non-invasive technique for early detection of breast tumors without using radiation and causing discomfort to the patient. The method should allow access to people with disabilities or low mobility. Detection of inclusions becomes possible due to definitions of damage metrics, which are statistical parameters capable of numerically representing the difference between two measurements before and after damage. The experimental technique proposes to estimate k and the central position of inclusion, b0, inserted in a phantom. The value of k estimated corresponds to the thermal property of healthy tissue. The central position of the inclusion corresponds to the position of possible tumor localization in the breast phantom. The method uses the same pair data heat flux/temperature measured at the phantom surface in different parting times. k and b0 are estimated by maximizing the likelihood function between theoretical and experimental temperature data on the phantom’s surface using times less than 350s and above 400 s, respectively. A 1D thermal model that considers heat generation is used.

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