abstract
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In this work the metabolic heat generated by breast tumors is estimated indirectly and noninvasively using digital infrared images and numerically simulating a simplified breast model and a cancerous tumor. This parameter can be of clinical importance since it has been related to the doubling volume%27s time and malignancy for that particular tumor. The results indicate that digital infrared imaging has the potential to estimate in a noninvasive way the malignancy of a tumor by calculating its metabolic heat generation from bioheat thermal transfer models.
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In this work the metabolic heat generated by breast tumors is estimated indirectly and noninvasively using digital infrared images and numerically simulating a simplified breast model and a cancerous tumor. This parameter can be of clinical importance since it has been related to the doubling volume's time and malignancy for that particular tumor. The results indicate that digital infrared imaging has the potential to estimate in a noninvasive way the malignancy of a tumor by calculating its metabolic heat generation from bioheat thermal transfer models.
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