Segmentation for brain matter detection in MRI image.

Hi.

I’m working as an student on an app to perform object detection (mainly gray matter) on a bran image (typically gray matter)

I have some “knowledge” available in form of images containing an slice of the gray matter (one slice per slice of the MRI). With this info to perform the segmentation should have been pretty straight forward, but it isn’t. I’m a little lost.

My options are: Perform some object detection by using Hough transform (I don’t know how to do so in MATLAB) Do some blob detection (with watershed or other similar) and then join all the blobs using tha knowledge I have in any way.

Do you have any suggestion? I mean, is there any function, or example to review to get some info about all this?

My problem is that I’m very new on MATLAB even though I know other environments.

Thanks in advance!

Answer 1

[Sarah Mohamed]

There is an example that demonstrates how to use the Hough transform to detect lines in an image, which might get you started on how to use this function:

http://www.mathworks.com/help/images/hough-transform.html

More generally, one place to look to learn how other users have solved similar problems is to search on the File Exchange for other community submissions. Here's an example that segments MRI images for tumor detection:

http://www.mathworks.com/matlabcentral/fileexchange/55107-brain-mri-tumor-detection-and-classification

Answer 2

[Victor Manuel Sobrino Garcia]

Hi Sarah.

Good morning. Thanks a lot for your answer. I really appreciate it. I will go through this info you send me.