Dear All,

I am interested in using machine learning to analyze MRI data in order

to extract pathological changes for neurodegenerative diseases (i.e Alzheimer's, Huntington's )

Can someone please give some advice on what (bioinformatic,statistical) methods from your experience would be best for an initial analysis and to extract disease specific features ?

Also what would be the most useful platform and what visualization tools or popular packages are best for data extraction and presentation in this case ?

I have about 500 samples from Philips and Siemens scanners ... Could you also suggest the processing power that I would typically require ... for example If I want to train my data and create module or signature prediction algorithms and what MRI parameters would be most informative in each case ( i.e FLAIR, DTI ?)

Any help would be greatly appreciated

Regards

Anastasios