How to detect the edema robustly

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Neil Liu 2015-3-11

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https://ww2.mathworks.cn/matlabcentral/answers/182707-how-to-detect-the-edema-robustly

编辑： A-J KHAN 2017-11-22

Dear Sir/Madam

I have to process the attached image, and I should detect the white part in the black contour(edema) automatically, and it is just one of images which should be detected! My code is

im2bw(image,.4);

but I don't think it is robust, because it depends on the graylevel of the edema. Could you please give me some methods to solve this problem? Thank you very much :-)

This is what I got after processing:

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Neil Liu 2015-3-14

Thank you for giving directions to me~!

Star Strider 2015-3-14

My pleasure!

Nothing in medicine is ever straightforward. That also goes for you later question about pericardial effusion. The radiographic density entirely depends on the aetiology of the effusion. The best you can hope for is to somehow standardise the myocardial density and standardise tbe pericardial density, and look for whatever is between them.

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Answer 1

Image Analyst 2015-3-12

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Take the histograms and manually threshold. Maybe you'll see some pattern where the best threshold lies.

Maybe you'd like to try the Frangi filter on it http://www.mathworks.com/matlabcentral/fileexchange/24409-hessian-based-frangi-vesselness-filter

Or a cosfire filter: http://www.mathworks.com/matlabcentral/fileexchange/49172-trainable-cosfire-filters-for-vessel-delineation-with-application-to-retinal-images

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Image Analyst 2015-3-12

Every image processing problem where you end up measuring something (e.g. size, shape, area, intensity, etc.) at some point gets down to thresholding. Sorry, but that's just the way it is. If the thresholding is done by some algorithm instead of you doing it manually with my awesome manual thresholding app then what's wrong with that?

A-J KHAN 2017-11-13