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Microwave data inversion in hemorrhagic brain stroke imaging: A Newton-conjugate-gradient based approach in Lp Banach spaces (Invited paper)

机译:出血性脑卒中成像中的微波数据反转:L P Banach空间(邀请纸)中的牛顿 - 共轭 - 基于梯度的方法

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This paper concerns the problem of data inversion in microwave imaging for biomedical applications. In particular, the integral equations of the inverse scattering problem are solved - in a regularized sense - by a new iterative procedure based on a conjugate gradient method. The approach is developed in Lp Banach spaces. Transverse magnetic illumination conditions are assumed in a tomographic configuration. The detection of hemorrhagic brain strokes is considered in the reported numerical simulations.
机译:本文涉及生物医学应用微波成像中数据反演的问题。特别地,通过基于共轭梯度法的新迭代过程解决了逆散射问题的积分方程 - 以正则化意义。该方法是在L P Banach空间中开发的。在断层构造中假设横向磁照明条件。在报道的数值模拟中考虑了出血性脑卒中的检测。

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