A Survey of Computer-assisted Methods for the Diagnosis of Memory-related Disorders

The segmentation of human brain and its parts is needed to analyze brain-related disorders. Hippocampus is a paired structure present on either side of the temporal lobe of a human brain. It is a curve like structure responsible for processing memory. Any abnormality in the size and volume of hippocampus leads to dementia-related disorders, Hippocampus is a bio-marker for Alzheimer's, one of the memory-related diseases referred to as AD. An analysis of this type of disorder needs segmented images of hippocampus from brain images. When the segmentation is manually done by the physicians, takes a lot of time since the volume of data sets is high. Hence, an automatic or semi- automatic system is needed to segment hippocampus from large data sets. This paper presents a complete survey of the existing techniques for automatic and semi-automatic segmentation of hippocampus.