Study on the Early Diagnosis of Cancer Inversion Problem Based on the Infrared Thermography

For the early diagnosis of cancer, capturing the unusual temperature distribution of organism surface by using the infrared thermography has become one of the hot spots in the research methods. However, at present this method can only qualitatively judge the early cancer lesion, while it cannot ascertain the lesion area and range accurately. In this paper, we have conducted some exploratory research in the light of this problem, and tried to apply the nonlinear inverse mathematical method in the quantitative analysis for the infrared medical diagnosis. Through this inversion algorithm, the lesion region and range will be judged quantitatively, which makes the value of infrared thermography improve in the field of cancer early diagnosis.