Dear Colleagues
"The primary form of a ROI is as a "mask". A mask is simply a 2D image or 3D volume which contains values of zero (0) everywhere except within the pixels (voxels) of interest, which typically have a value of one (1). It is called a mask because such a ROI can be used to "mask off" all of the non-interesting functional image data, leaving only the region of interest. If the mask-value for the ROI is 1, it is a simple matter of multiplying the functional image by the mask image on a pixel-by-pixel basis to mask off (or set to 0) the non-ROI pixels."
Above Para has been taken from following link
Ref: http://psyphz.psych.wisc.edu/~oakes/spam/BrainMaker_Intro.html
http://in.mathworks.com/help/images/roi-based-processing.html
http://www.google.co.in/patents/US6775399
Dear Hanchate, I may not be of much help based on the definition of ROI that I know. As you may be aware, Return On Investment (ROI) also called rate of return, or yield, is a measure of profitability usually expressed as a percentage indicates whether or not a company is using its resources in an efficient manner. If for example the long-term return on investment of a company is lower than its cost-of-capital, then the company will be better off by liquidating its assets and depositing the proceeds in a bank. I would feel that the package you use to analyse the data will inform you whether any data used is of importance or not. It may not be good to rash to conclusions that it is a waste of time to use the available data.
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