[Segmentation of multiple sclerosis lesions based on Markov random fields model for MR images].

Multiple sclerosis (MS) is an inflammatory demyelinating disease that would damage central nervous system. There is a growing attention to the segmentation algorithms of MS Lesions. An MRF-based algorithm for MS lesions segmentation of T2-weighted MR brain images is developed by utilizing the morphological characteristics of MS lesion tissues. The regions circumscribed by white matter are extracted at first by MRF-based segmentation and region growing methods; the abstracted regions are then segmented again using MRF-based algorithm. The segmented MS lesions of both simulated and clinical T2-weighted MR brain images are presented in the current work. The testing results show that the proposed algorithm is robust and accurate enough for clinical use.