Detection System for Alzheimer's Disease Using Brain Structural And/Or Functional Magnetic Resonance Image Processing and Machine learning Techniques

This detection system has huge societal importance in clinical diagnostics of AD and AD like symptoms. Till now there is no single diagnostic test or biomarker to definitively diagnose dementia and its underlying neurodegenerative disorder. This embedded system could easily be synced with the clinically used MRI/fMRI machines. This detection system can aid clinical diagnostics of AD and AD like symptoms in an efficient manner.

Biomedical imaging based development of diagnostic systems is a popular and lucrative field for both academia and industry. Hence, a largegroup of inventors are working on development of effective image processing and machine learning based diagnostic systems for Alzheimer’s disease (AD) detection. However, our method is unique in the sense of its trained models and the derived features which are specific. Hence, the performance and the underlined coding and logical systems are unique to us. Similarly, utilization of both sMRI and fMRI images and their derived features are also novel and unique. Further, enrichment and diversification of the training models via additions of broader patient cohorts and hitherto unknown important features would be specific to our package.

Alzheimer’s disease (AD) and other forms of dementia are ranked as the 7th leading cause of death. It is estimated that there are approximately 44 million people worldwide living with Alzheimer’s disease or a related form of dementia. Hence, early detection of the disease and its prodromal form named mild cognitive impairment (MCI) is very important.This invention may have huge scope in countries like India, USA, Brazil, Argentina.