Bias field correction-based tissue classification of MR images of brain

Segmentation of MR images into tissue classes is often required in clinical applications. But automatic segmentation and tissue classification can be hardly satisfactory because of the overlapped distribution of intensities between tissues. This paper describes a new method called adaptive segmentation that uses knowledge of tissue properties and intensity inhomogeneities to correct and segment multi-spectral MR images. Use of the expectation-maximization (EM) algorithm leads to more accurate results.