Aiming at early detection of tumors, microwave breast imaging is investigated with a priori information on tissue boundaries yielded from ultrasound reflection data. A regularization term is to incorporate the information that two neighboring pixels should exhibit similar dielectric properties when not on a boundary while a jump would be allowed otherwise. This regularization is enforced in the distorted Born iterative method and in the contrast source inversion method. Comprehensive numerical experiments are carried out, involving a simple synthetic model and on two anatomically-realistic MRI-derived numerical breast phantoms. Imaging quality appears greatly improved with this regularization when tissue boundaries are indeed provided. Improvement is observed also when real parts and imaginary parts are retrieved in separate fashion.

中文翻译：

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具有事先超声信息的微波乳房成像

为了早期发现肿瘤，对微波乳腺成像技术进行了研究。 先验从超声反射数据获得的组织边界信息。正则化术语是要包含以下信息：两个相邻像素不在边界上时应显示相似的介电特性，否则将允许跳跃。这种正则化是在扭曲的Born迭代方法和对比源反演方法中实施的。进行了全面的数值实验，其中涉及一个简单的合成模型，并在两个解剖学上逼真的MRI派生的数值乳腺模型上进行。当确实提供组织边界时，通过这种正则化，成像质量似乎大大提高了。当以分开的方式检索实部和虚部时，也会观察到改进。