blood vessel segmentation help

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Nisreen Sulayman
Nisreen Sulayman on 18 Jul 2014
Commented: Sowmiya Jagadeesan on 11 Apr 2020
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
https://copy.com/BzpfTBTe4Foe

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Accepted Answer

Spandan Tiwari
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
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.
http://www.mathworks.com/matlabcentral/fileexchange/49172-trainable-cosfire-filters-for-vessel-delineation-with-application-to-retinal-images
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Nisreen Sulayman
Nisreen Sulayman on 30 Jan 2015
@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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Image Analyst
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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Image Analyst
Image Analyst on 20 Jul 2014
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
Nisreen Sulayman
Nisreen Sulayman on 29 Jul 2014
Edited: Nisreen Sulayman 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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Dan
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.
Nisreen Sulayman
Nisreen Sulayman on 29 Jul 2014
Edited: Nisreen Sulayman 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?
John
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:
http://itk.org/ITKExamples/src/Nonunit/Review/SegmentBloodVesselsWithMultiScaleHessianBasedMeasure/Documentation.html
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
  1 Comment
Anand
Anand on 30 Jan 2015
Or, you could look at a File Exchange entry that does the same: Hessian Based Frangi Vesselness Filter

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