The project deals with automatic segmentation of the hippocampus from MRI scans of mice brains. The hippocampus is an organ inside the brain, which has roles in short-term memory, spatial memory, and even in navigability, and therefore it has great significance. Nonetheless, manual segmentation of the hippocampus can take long time; therefore, we need an algorithm that will make the segmentation of the hippocampus automatically.
In the project, some methods of segmentation examined. The main difficulty caused by the fact that the boundaries of the hippocampus are not clearly visible in the scans images.
The selected solution is atlas-based segmentation. This solution includes a registration between already-segmented sets of images, and a new set of images. The solution based on the following assumptions- the shape of the brain and its organs, the textures and the boundaries are similar between the scans. The registration performed by MIND algorithm.
The result of the automatic segmentation that received by preforming the algorithm, examined in the cases of different resolution scans and in the case of different mice scans.