A Proposed Method for Brain Medical Image Registration by Hierarchical Clustering Algorithm

The explosive growth in medical imaging technologies has been matched by a tremendous increase in the number of investigations centred on the structural and functional organisation of the human body. Therefore working with neuroscientific data has faced experts with two major problems; one is the large amount of data and the other is complexity of it. Many scientists and physicians are working on brain projects in different aspects. Capturing and processing human brain images are not easy tasks. The fact that the Talairach brain fails to match individual scans motivate us to use other type of approaches and algorithms. With using brain anatomy as a source for integrating different types of images, researchers try to segment the human brain in different aspects. By taking advantage of hierarchical clustering algorithm we try to present an effective and more accurate approach for human brain image processing.