Brain extraction using Kmeans and connectivity.

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Fer 2015-12-2

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https://ww2.mathworks.cn/matlabcentral/answers/258477-brain-extraction-using-kmeans-and-connectivity

评论： Fer 2015-12-2

Hello, I'm trying to perform a brain extraction of a slice from a NIFTI volume. I wrote a k means segmentation code, and that way I have gotten as far as:

and now I am trying to use connectivity, based on this tutorial but I'm not sure if something similar can be done if the parts I want to extract are not in the borders. In the image, the brain is separated from the skull and there's an empty region between them. Is there a way of separating these regions? I tried something like this but got stuck after I got the connected components structure.

Thanks in advance

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Kirby Fears 2015-12-2

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How many connected components did you get back from bwconncomp ()?

You should be able to get each one by accessing the PixelIdxList field.

cc = bwconncomp(bw, 4)
grain = false(size(bw));
% instead of 50 try 1, 2, 3, etc :
grain(cc.PixelIdxList{50}) = true; 
imshow(grain);

Fer 2015-12-2

I did, I actually got as far as this:

However the label corresponding to the skull is not always the same. Running the same code on the same image will sometimes result in the segmentation of a different structure.