Image normalization and standardization

[rgh1]

Hi, I have a problem concerning MRI image normalization and scaling data between 0 and 1.
I have three tissue classes with different intensity range on a set of images (intensity range for each tissue is varying from image to image): for one image for instance I have: GM (100-150), L(0-150), WM(150-300). Now I want to normalize L to GM and WM, such that I can say how much brighter or darker L is relative to GM and WM. I was wondering how can I do it? and if I want to show the contrast of L, relative to GM and WM to be between 0 and 1, what will be the equation?
Thanks for your help in advance

 

[jbsteele]

.The equation you can use to normalize the data between 0 and 1 is: NormalizedValue = (OriginalValue - MinValue) / (MaxValue - MinValue)So, for GM you would do (Value - 100) / (150 - 100) = (Value - 100) / 50. For L you would do (Value - 0) / (150 - 0) = Value / 150. And for WM you would do (Value - 150) / (300 - 150) = (Value - 150) / 150. Using this equation, you can normalize each value in the three tissue classes to a range between 0 and 1. Then you can compare them to see how much brighter or darker one tissue is relative to the other.