Maximum Likelihood Estimation of the Bias Field in MR Brain Images: Investigating Different Modelings of the Imaging Process

摘要: This article is about bias field correction in MR brain images. In the literature, most of methods consist modeling imaging process before identifying its unknown parameters. After two widely used such models, we propose a third one and show that for these three it possible to use common estimation framework, based on Maximum Likelihood principle. scheme partly rests functional field. The optimization performed by an ECM algorithm, which have included procedure outliers rejection. this way, derive algorithms compare them set simulated We also provide results real images exhibiting with typical "diagonal" pattern.