Clinical dementia rating score prediction based on MR segmentation

This work aims at predicting the clinical dementia rating (CDR) score with a fully automated human brain volumetric segmentation method based on anatomical atlas using magnetic resonance (MR) images. The CDR prediction method uses a Bayesian classifier considering 371 individuals. Practical results were assessed using the classifier true-positive rate. CDR score prediction can indicate an underlying neurodegenerative disorder, such as Alzheimerpsilas disease. Its early detection allows precocious therapeutic intervention and better clinical results.