Over the last few decades, the rapid development of noninvasive brain imaging technologies has opened new horizons in analysing and studying the brain anatomy and functions. Enormous progress in exploring brain anatomy has been made using magnetic resonance imaging (MRI). Brain MRI segmentation is an essential task in many clinical applications. For example, MRI segmentation is commonly used for measuring and visualizing different brain structures, for delineating lesions, for analysing brain development, and for image ­guided interventions and surgical planning. This diversity of image processing applications has led to development of various segmentation techniques of different accuracy and degree of complexity. In the technical workshop organized by the IEEE EMBS Student Branch Chapter AUTH in cooperation with Signal Processing and Biomedical Technology Unit of the faculty of Electrical Engineering and Computer Sciences AUTH, the attendees, following the speakers’ directions, will develop an accurate automated algorithm in Matlab, based on histograms and simple morphological operations, for whole­ brain segmentation and volume measurement in T1­weighted, three­ dimensional MR images.