Detection of coronary areteries stenosis

Dear Sir/Madam,

I have images taken from the angiography device and I segmented coronary arteries from my database using image processing techniques, Then the next step I would like to detect stenosis (Narrowing) from the segmented image, which specific methods (image processing or deep learning methods ) can I apply to my segmented images? As a result, its main purpose is to automatically detect whether there is a narrowing of the vessels

I would be grateful if you can give me ideas. Thank you in advance

I have attached a picture from the internet showing the narrowness (stenosis) with a red circle. and one example segmented image without narrowing from my original images ,

Answer 1

[Image Analyst]

Well, that's what I got my Ph.D. on. Probably lots of other people did too. So it's not some simple thing where we can just give you 500 lines of code and it will robustly find stenoses. I don't even have that code anymore anyways. You have a lot of work ahead of you. Like I'm assuming you've also chosen this as your Ph.D. project. So I suggest you consult with your professor and collaborating radiologist on a plan. In the meantime, see how others did it by searching PubMed or VisionBib for similar papers:

http://www.visionbib.com/bibliography/contentsmedical.html#Medical%20Applications,%20CAT,%20MRI,%20Ultrasound,%20Heart%20Models,%20Brain%20Models

By the way, since you have the binary image, you can get the widths by getting the skeleton and multiplying it by the Euclidean Distance Transform. See attached demo.

[Serife Kaba]

thank you so much for your information , yes its my PHd thesis

Best regards

Serife