A Quantitative Microwave Imaging Approach for Brain Stroke Classification Based on the Generalized Tikhonov Regularization

Early diagnosis of stroke type by imaging is one the most important tasks for patients. In this article, we propose a new approach to reconstruct brain image with high accuracy and quality. approach, first use Born iterative method image. Then comparing set MRI-based images, using structural similarity index measure criterion, choose best as reference Finally, distorted or along generalized Tikhonov regularization The reconstructed images are compared those that obtained based on regularization. These comparisons demonstrate quality in proposed significantly increased.