数字红外相机对乳腺异常的自动诊断

A. Wakankar, G. Suresh, Akshata Ghugare
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引用次数: 10

摘要

乳腺癌是女性中最常见的癌症。乳腺癌只有在早期发现才能得到有效治疗。乳房x光检查被公认为诊断乳腺癌的标准方法,基于红外热像仪的癌症诊断能够在早期发现癌症的发展和进展,从而有可能生存。临床对乳房热像图的解释主要是基于视觉和主观对热模式的不对称分析。本文实现了一种乳房热图像的兴趣区域分割和不对称分析方法。根据提取的温度分布特征进行非对称性分析。通过这些特征和与医生诊断的比较,可以清楚地指出乳房热像图的异常。因此,红外热像仪是一种生理测试,对可能导致肿瘤的癌前警报的生理变化敏感,是乳腺异常检测的有效辅助和诊断工具。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Automatic Diagnosis of Breast Abnormality Using Digital IR Camera
Breast Cancer is the most commonly diagnosed form of cancer in women. Breast cancer can be treated effectively only if it is detected at earlier stage. Mammography is recognized as the standard method for diagnosing breast cancer, Infrared Thermography based cancer diagnosis is able to detect cancer in its early stage of development and progression, thus survival is possible. Clinical interpretation of breast thermo grams is primarily based on the asymmetry analysis of the heat patterns visually and subjectively. In this paper an approach for segmentation of region of interest and asymmetry analysis of breast thermo grams is implemented. Asymmetry analysis is performed according to the extracted features based on temperature distribution. The abnormality of breast thermo grams is clearly indicated by these features and by comparison of the results with doctor's diagnosis. Thus Infrared Thermography is a physiological test and is sensitive to physiological changes that are precancerous alarms that may lead to tumor and is proved to be an effective, adjunct and diagnostic tool in Breast Abnormality Detection.
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