How to perform quantitative analysis of brain MRI segmentation?

I am using modified fuzzy C means(MFCM) and level sets segmentation for automated brain MRI image segmentation into WM(White Matter), GM(Gray Matter) and CSF(Cerebrospinal Fluid). The initial segmentation is done by MFCM approach and the results obtained are given to level set. I used some code available in file exchange. I need to perform quantitative analysis of segmentation using MATLAB. Since I am new to Segmentation, Please suggest suitable code/s, and method/d for segmentation evalvation. I am having segmented images in bmp format.

Answer 1

[Image Analyst]

Assuming you have segmented the image into those three classes with your other software, you can then use regionprops() to measure characteristics. See my BlobsDemo image segmentation tutorial for an example: http://www.mathworks.com/matlabcentral/fileexchange/?term=authorid%3A31862

Answer 2

[vaishali]

http://www.mathworks.in/matlabcentral/fileexchange/41666-fast-3d2d-region-growing-mex

[Nagaraj H]

Thank you vaishali for reply. The link provided by you does not give info about quantitative analysis of segmentation. I am having problem of runing mex in my MATLAB. I am getting error for all mex files. Please see other solutions for quantitative analysis of segmentation and mex.