Visualizing Dementia’s Impact

Analyzing MRI Scans to Identify Key Brain Regions through Python-Based Image Comparison

Abstract

MRI scans of dementia patients were analyzed to identify commonalities and differences in specific areas when compared to non-demented patients. Using Python, average images of the brain scans for both groups were created, and the differences were plotted to visually highlight regions of significant variation. This approach identified critical areas affected by dementia, such as the hippocampus and ventricles, which display distinct patterns of atrophy and enlargement, consistent with previous studies. By generating these comparative images, this analysis aimed to enhance understanding of how dementia structurally impacts the brain, providing a visual representation that can aid in more accurate diagnosis and assessment of the disease's progression. These visual insights contribute to the broader goal of utilizing computational methods to pinpoint early indicators of dementia, offering potential pathways for future AI models to further refine the detection and prediction of this condition.