Study the Corpus Callosum of Brain to Explore Autism Employing Image Segmentation

摘要

Autism is a lifetime developmental disability which is a great concern in the present world. As of 2010, autism affects 1-2 in every 1000 people all over the world. Autism is highly inherited that appears during infancy or childhood. It is a spectrum condition; some people have learning disabilities, mental health issues and other conditions like hearing impairment, Down's syndrome, epilepsy etc. Recent studies show autistic people encompass faulty connections between different brain regions; corpus callosum region is one of them. To explore the causes of autism, the study of corpus callosum of brain is carried out among the control and autistic individuals in which fMRI (functional Magnetic Resonance Imaging) scan images of corpus callosum is taken as input. Firstly, Sobel, Prewitt and Robert edge detection is performed in the images respectively to detect the surrounding edges of corpus callosum and then thresholding method is applied for segmentation of images. The work is carried out for the children, teenager and adult. Furthermore, the binarization method is used to calculate the area of corpus callosum of brain for the control and autistic patients. Finally, the differences of the produced images of corpus callosum between the control and autistic individuals will help in understanding autism.