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Analytical and numerical models of the magnetoacoustic tomography with magnetic induction

机译:磁感应磁声层析成像的分析和数值模型

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PurposeElectrical properties of biological tissues are known to be sensitive to physiological and pathological conditions of living organisms. For instance, human breast cancer or liver tumor cells have a significantly higher electrical conductivity than a healthy tissue. The paper aims to the new recently developed magnetoacoustic tomography with magnetic induction (MAT-MI) which can be deployed for electrical conductivity imaging of low-conductivity objects. Solving a test problem by using an analytical method is a useful exercise to check the validity of the more complex numerical finite element models. Such test problems are discussed in Chapter 3. The detailed analysis of an electromagnetic induction in low-conductivity objects is very important for the next steps in the tomographic process of image reconstruction. Finally, the image reconstruction examples for object's complex shapes' have been analyzed. The Lorentz force divergence reconstruction has been achieved with the help of time reversal algorithm.
机译:目的已知生物组织的电特性对活生物体的生理和病理状况敏感。例如,人乳腺癌或肝肿瘤细胞具有比健康组织高得多的电导率。本文旨在研究新近开发的带有磁感应的磁声层析成像技术(MAT-MI),该技术可用于低电导率物体的电导率成像。通过使用分析方法解决测试问题是检查更复杂的数值有限元模型有效性的有用练习。第3章将讨论此类测试问题。对低电导率对象的电磁感应进行详细分析对于图像重建的层析成像过程中的后续步骤非常重要。最后,分析了物体复杂形状的图像重建实例。借助时间反转算法,实现了洛伦兹力发散重建。

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