Multi-atlas based segmentation of human cerebellum

Atlas-based segmentation is a high-level technique which provides highly accurate results particularly in the anatomical segmentation of medical images. The main idea of this technique consists in using a dataset of atlases which is perceived as a priori information necessary for providing the automatic segmentation of images. In the current state of the art of atlas-based techniques, the segmentation task is carried out based on a fixed database of atlases. In this article, we propose a multi-atlas segmentation method for brain MRI images based on a dynamic atlas database which is progressively updated each time a new case is added. The experiments show that the suggested technique seems to perform well compared to conventional multi-atlas based segmentation methods.