The paper aims to complement thermography with numerical analysis in order to use patients’ personalized data such as precise breast geometry and temperature patterns to detect tumors inside the breast. Previous studies in the literature use idealized semi-spherical breast models without experimental validation and personalized data. To improve the accuracy and reliability of computer-aided diagnosis of breast tumors, this study uses realistic 3D breast geometry, based on 3D scanning, in its numerical model, which is then validated by experiments through fabricating the breast using 3D printing and molding. It is shown in the combined numerical and experimental study that breast geometry is very important in determining the temperature field and detecting the tumor inside the breast. Further computational study shows that for breasts with and without tumors for cup sizes ranging from 120 to 260 mm and tumor depth from 5 to 25 mm, the maximum differences in surface temperatures can range from 0.34 to 1.37 °C. The difference become insignificant with large cup sizes. Thus, it can be concluded that the major important factors for precision tumor detection are tumor depth and breast geometry.

中文翻译：

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使用热成像技术检测乳腺肿瘤的热建模


该论文旨在通过数值分析来补充热成像技术，以便利用患者的个性化数据（例如精确的乳房几何形状和温度模式）来检测乳房内的肿瘤。先前的文献研究使用理想化的半球形乳房模型，没有实验验证和个性化数据。为了提高乳腺肿瘤计算机辅助诊断的准确性和可靠性，本研究在其数值模型中使用基于 3D 扫描的真实 3D 乳腺几何形状，然后通过使用 3D 打印和成型制造乳腺进行实验验证。数值和实验相结合的研究表明，乳房几何形状对于确定温度场和检测乳房内部肿瘤非常重要。进一步的计算研究表明，对于有肿瘤和无肿瘤的乳房，罩杯尺寸为 120 至 260 毫米，肿瘤深度为 5 至 25 毫米，表面温度的最大差异可达 0.34 至 1.37 °C。对于大罩杯尺寸，差异变得微不足道。因此，可以得出结论，精确肿瘤检测的主要重要因素是肿瘤深度和乳房几何形状。