Computer Vision Technique for Neuro-image Analysis in Neurodegenerative Diseases:A survey

摘要

Computer vision is a set of sophisticated algorithm meant to enable machines to infer important information from high dimensional digital images and videos. It enables machine to analyze the hidden patterns and behavior in the high dimensional data more accurately than humans to extract useful information for better and accurate classification of data. Medical image data like neuro-imaging captured by different imaging modalities like Magnetic Resonance Imaging (MRI), Computed Tomography (CT), Positron Emission Tomography (PET) and Single Photo Emission Computed Tomography (SPECT) is a high resolution data. Neuro-image classification addresses the problem of detection, prediction and diagnosis of various neuro-degenerative diseases like Alzheimer's disease (AD), Parkinson's disease (PD) and other forms of dementia. Neurodegeneration is progressive deterioration of neuronal cells of human brain leading to devastating consequences characterized by brain atrophy. Therefore, early and accurate detection of neurodegenerative diseases(ND) like Alzheimer's disease is important for better treatment outcomes for the patients having neurodegenerative diseases. In this article we are discussing the application of computer vision in the detection and diagnosis of neurodegenerative diseases.