Hi Mohan,

The segmentation results are given as probability maps: a (unsigned 8-bit) value of 0 means probability 0 , 255 means probability 1, and everything in between scales linearly.

The proper way to obtain "crisp" label maps from these images is to assign each voxel to the label map that has the highest probability, so you'd need to read in all probabilty maps, visit each voxel and compare the probabilities in the voxel for all structures.

Generating such "scrisp", winner-takes-all label maps is not recommended to calculate e.g., volumes etc, though...

Hope this helps,

Koen

On Mon, Aug 8, 2011 at 2:26 PM, mohan boddu bmohan.boddu@gmail.com wrote:

I have completed the segmentation of hippocampal subfileds, but now I would like to know the generated images are in probability map or label map? If they are in label map what would be the best upper and lower thresholds to generate the ROI mask images. Could you please also tell me the way to do so.

-- --Mohan Boddu-- Research Assistant Department of Radiology and Imaging Research II Building Indiana University School Of Medicine Indiana University-Purdue University Indianapolis Indianapolis, IN 46202

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