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Electrically stimulated breast model's thermal imaging simulations

机译:电刺激乳房模型的热成像模拟

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Different tissues energy consuming values show differences from each other. Conductivity and metabolic heat source of the tissue alter whether it is healthy or not. The temperature differences of tissues take the thermal infrared imaging into very important and vital point. It was not possible to be able to detect these amounts of differences with the early instrumentation and technology. However, in recent years by the improvement of sensitivity of detectors and cameras it is now possible to sense these amounts of temperature differences. Infrared imaging has a limited performance for the breast cancer diagnosis which occurs especially due to patient moving. Nevertheless, this performance can be improved by applying low frequency currents in medical safety limits. By the help of current application, temperature differences of tissues which have different electrical and thermal properties can be increased and malignant tissue can be distinguished in the obtained thermal image. In this study, woman breast and cancerous tissue are two dimensionally modeled. By using realistic values for regular and cancerous tissue Pennes bio heat equation is solved with finite element method. Simulations are implemented for different tumor locations. Whenever malignant tissue approaches to the skin surface, higher temperature differences are obtained. Imaging performance is increased with current application and tumors can be sensed at 4.5 cm depth with the modern state-of-the-art thermal infrared imagers (possess approximately 10deg mK sensitivity).
机译:不同组织的能量消耗值显示彼此不同。无论组织是否健康,其电导率和代谢热源都会改变。组织的温度差异使红外热成像变得非常重要和重要。早期的仪器和技术不可能检测出这些差异。然而,近年来,通过提高检测器和照相机的灵敏度,现在有可能感测这些量的温差。红外成像对乳腺癌的诊断性能有限,这尤其是由于患者移动引起的。但是,可以通过在医疗安全限制范围内施加低频电流来改善此性能。借助于当前的应用,可以增加具有不同电性质和热性质的组织的温差,并且可以在所获得的热图像中区分出恶性组织。在这项研究中,对女性乳房和癌组织进行了二维建模。通过使用正常值和癌变组织的实际值,Pennes生物热方程通过有限元方法求解。针对不同的肿瘤位置执行模拟。每当恶性组织接近皮肤表面时,都会获得更高的温差。随着当前应用的发展,成像性能得以提高,并且可以使用现代最先进的热红外成像仪(具有大约10deg mK的灵敏度)在4.5 cm的深度处感知肿瘤。

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