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blood vessel segmentation help

Asked by rose rose on 18 Jul 2014
Latest activity Edited by rose rose on 30 Jan 2015
Hi,
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

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6 Answers

Answer by Spandan Tiwari on 24 Jul 2014
 Accepted Answer

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.

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Answer by 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.

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Very impressive results.
@Nicola
Have you build a database of the results? Or do you know any matlab code to build a an indexed database according to image features??

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Answer by 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

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Greeting,
I need something about intensity inhomogeneity correction especially about * using anti-diffusion model. *fuzzy contrast-limited adaptive histogram equalization (FCLAHE).
Do you have any suggestions about these two points?
Nope - never heard of it. Sounds like some particular paper that one author wrote. There are thousands of papers and I didn't read that one. Why can't you just follow the recipe in the paper? http://matlab.wikia.com/wiki/FAQ#Can_you_program_up_the_algorithm_in_this_article_for_me_and_explain_it_to_me.3F
I have the following result of segmentation
How can I improve the results?
1) I want to improve the appearance to get the vessels more smooth.
2) I want to extract the oval-like part of the vessels in the middle of the image.
Any suggestions?

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Answer by 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.

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Answer by rose rose on 29 Jul 2014
Edited by rose rose on 29 Jul 2014

I have the following result of segmentation
How can I improve the results?
1) I want to improve the appearance to get the vessels more smooth.
2) I want to extract the oval-like part of the vessels in the middle of the image.
Any suggestions?

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Answer by 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

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Or, you could look at a File Exchange entry that does the same: Hessian Based Frangi Vesselness Filter

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