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通过有限元热分析检测早期乳腺肿瘤。

Detecting early breast tumour by finite element thermal analysis.

作者信息

Lin Q Y, Yang H Q, Xie S S, Wang Y H, Ye Z, Chen S Q

机构信息

Key Laboratory of OptoElectronic Science and Technology for Medicine of Ministry of Education, Institute of Laser and OptoElectronics Technology, Fujian Normal University, Fuzhou, PR China.

出版信息

J Med Eng Technol. 2009;33(4):274-80. doi: 10.1080/03091900802106638.

DOI:10.1080/03091900802106638
PMID:19384702
Abstract

Thermography has been proved to be an effective technique for indicating breast disease abnormalities or risks. However, the abnormalities might not express clearly due to various factors, such as when a small tumour is located in a deep region, or environmental influences that make breast disease difficult to find. This study aims to solve these problems for early detection of breast tumour. A three-dimensional breast model is presented to investigate the relationship between an embedded tumour and the surface temperature distribution. Then a subtraction technique is used to enhance the thermal signature of breast tumour. It was showed that the surface thermal characteristics of a small tumour even in a deep region could be found easily by this method. Furthermore, it was also found that the surface thermal characteristics of tumour obscured due to environmental cooling effect can be clearly displayed. The results are very useful for analysing breast thermograms.

摘要

热成像已被证明是一种用于指示乳腺疾病异常或风险的有效技术。然而,由于各种因素,异常情况可能无法清晰显示,比如小肿瘤位于深部区域时,或者环境影响导致乳腺疾病难以发现。本研究旨在解决这些问题以实现乳腺肿瘤的早期检测。提出了一种三维乳腺模型来研究植入肿瘤与表面温度分布之间的关系。然后使用减法技术来增强乳腺肿瘤的热信号特征。结果表明,通过这种方法可以轻松找到即使位于深部区域的小肿瘤的表面热特征。此外,还发现由于环境冷却效应而被掩盖的肿瘤表面热特征可以清晰显示。这些结果对于分析乳腺热成像图非常有用。

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