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首页> 外文会议>IEEE International Symposium on Biomedical Imaging: From Nano to Macro >Modeling thermography of the tumorous human breast: From forward problem to inverse problem solving
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Modeling thermography of the tumorous human breast: From forward problem to inverse problem solving

机译：人类乳房肿瘤的热成像建模：从正向问题到逆问题解决

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The abnormal thermogram has been shown to be a reliable indicator of a high risk of breast cancer. Nevertheless, a major weakness of current infrared breast thermography is its poor sensitivity for deeper tumors. Numerical modeling for breast thermography provides an effective tool to investigate the complex relationships between the breast thermal behaviors and the underlying pathophysiological conditions. Conventional “forward problem” modeling cannot be used to directly improve the tumor detectability, however, because the underlying tissue thermal properties are generally unknown. Based on our new comprehensive forward modeling, we propose an “inverse problem” modeling technique that aims to estimate tissue thermal properties from the breast surface thermogram. Our data suggest that the estimation of tumor-induced thermal contrast can be significantly improved by using the proposed inverse problem solving techniques to provide the individual-specific thermal background, especially for deeper tumors.
机译：异常热像图已被证明是乳腺癌高风险的可靠指标。然而，当前的红外乳腺热成像的主要缺点是其对较深肿瘤的敏感性差。乳房热成像的数值模型提供了一个有效的工具，可以研究乳房热行为与潜在病理生理状况之间的复杂关系。但是，常规的“前向问题”建模不能用于直接改善肿瘤的可检测性，因为底层组织的热特性通常是未知的。基于我们新的全面正演模型，我们提出了一种“逆问题”建模技术，旨在从乳房表面体温图中估计组织的热性质。我们的数据表明，通过使用提出的逆问题解决技术来提供特定于个体的热本底，尤其是对于较深的肿瘤，可以显着改善对肿瘤引起的热对比的估计。

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