blood vessel segmentation help
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Nisreen Sulayman on 18 Jul 2014
I want to segment cerebral blood vessels from angiogram images?
Results which I got are very disappointing.
Any help or suggestions about image enhancement and segmentation are really appreciated.
This is an example of images to be segmented: https://copy.com/ezNK3fM6sVNs
I do some processing but it is insufficient
Spandan Tiwari on 24 Jul 2014
This may not be directly relevant but since you mentioned FCLAHE I wanted to point out that the ADAPTHISTEQ function in the Image Processing Toolbox is based on the CLAHE algorithm.
More Answers (5)
Nicola Strisciuglio on 30 Jan 2015
Here there is a full example of segmentation in retinal fundus images, which can be easily adapted to angriography images.
Image Analyst on 18 Jul 2014
We don't really do complicated algorithm development here - just MATLAB programming stuff like syntax, error messages, simple program flow, etc., not something that has been the subject of countless masters and Ph.D. projects like what you're asking. Go here to see papers by those who have, and have successful results that they've published: http://www.visionbib.com/bibliography/contentsmedical.html#Medical%20Applications,%20CAT,%20MRI,%20Ultrasound,%20Heart%20Models,%20Brain%20Models
Dan on 24 Jul 2014
Do you just have the single image? I would imagine that you have a stack of images comprising a volume and this additional dimension may help you....
Just my $0.02.
John on 29 Jul 2014
MATLAB is a superb tool for medical image processing. It is even more powerful when coupled with other tool kits like the ITK toolkit. The kind of stuff you can do:
But ITK is external to MATLAB. With MATLABs external function calling capabilities you can call the right functions from precompiled ITK libraries for your platform. You could also consider the Matitk bridge software which is available at http://matitk.cs.sfu.ca/ which abstracts some parts of the interfaces with ITK