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Standardization of Infrared Breast Thermogram Acquisition Protocols and Abnormality Analysis of Breast Thermograms

机译:红外乳腺热像图采集协议的标准化和乳腺热像图的异常分析

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The non-invasive, painless, radiation-free and cost-effective infrared breast thermography (IBT) makes a significant contribution to improving the survival rate of breast cancer patients by early detecting the disease. This paper presents a set of standard breast thermogram acquisition protocols to improve the potentiality and accuracy of infrared breast thermograms in early breast cancer detection. By maintaining all these protocols, an infrared breast thermogram acquisition setup has been established at the Regional Cancer Centre (RCC) of Government Medical College (AGMC), Tripura, India. The acquisition of breast thermogram is followed by the breast thermogram interpretation, for identifying the presence of any abnormality. However, due to the presence of complex vascular patterns, accurate interpretation of breast thermogram is a very challenging task. The bilateral symmetry of the thermal patterns in each breast thermogram is quantitatively computed by statistical feature analysis. A series of statistical features are extracted from a set of 20 thermograms of both healthy and unhealthy subjects. Finally, the extracted features are analyzed for breast abnormality detection. The key contributions made by this paper can be highlighted as - a) the designing of a standard protocol suite for accurate acquisition of breast thermograms, b) creation of a new breast thermogram dataset by maintaining the protocol suite, and c) statistical analysis of the thermograms for abnormality detection. By doing so, this proposed work can minimize the rate of false findings in breast thermograms and thus, it will increase the utilization potentiality of breast thermograms in early breast cancer detection.
机译:无创,无痛,无辐射且具有成本效益的红外乳腺热成像技术(IBT)通过早期发现疾病,对提高乳腺癌患者的生存率做出了重大贡献。本文提出了一套标准的乳房热像图采集协议,以提高早期乳腺癌检测中红外乳房热像图的潜力和准确性。通过维持所有这些协议,在印度特里普拉邦政府医学院(AGMC)的区域癌症中心(RCC)中建立了红外乳房热像图采集设置。在获取乳房温度记录图之后,进行乳房温度记录图解释,以识别是否存在异常。然而,由于复杂的血管模式的存在,对乳房热成像的准确解释是一项非常艰巨的任务。通过统计特征分析定量计算每个乳房体温图中热模式的双边对称性。从健康和不健康受试者的20个温度记录图中提取了一系列统计特征。最后,分析提取的特征以检测乳房异常。本文的主要贡献可以突出为-a)设计用于精确采集乳房温度记录图的标准协议套件,b)通过维护协议套件创建新的乳房温度记录图数据集,以及c)对用于异常检测的温度记录图。这样,这项拟议的工作可以最大程度地减少乳房热像图错误发现的发生率,因此,它将提高乳房热像图在早期乳腺癌检测中的利用潜力。

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