Python Based on Multimodal Medical Image Fusion for the Detection of Alzheimer's Disease

Abstract

Alzheimer’s disease is the most common cause of dementia worldwide, with the prevalence continuing to grow in part because of the aging world population. This can be compared and identified using image fusion of MRI (Magnetic Resonance Imaging) and SPECT (Single Photon Emission Computed Tomography). Image fusion is a process used to increase the visual interpretation of images in various applications. It integrates the necessary features of two or more images into a single image without introducing artifacts. The traditional image fusion methods are generally successful at inserting spatial detail into the multispectral imagery despite the color information in the mechanism is distorted. This paper presents the fusion of multimodal medical images with the help of python language and the results are compared in Alzheimer’s disease (AD).