Brain tumor detection from MRI images using anisotropic filter and segmentation image processing

This image processing routine can detect tumors presence,location,area,boundary.
Updated Wed, 19 Jul 2017 18:14:28 +0000

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Brain Tumor Detection and Segmentation from MRI
Brain Tumor is a fatal disease which cannot be confidently detected without MRI.
In the project, it is tried to detect whether patient’s brain has tumor or not from MRI
image using MATLAB simulation.
To pave the way for morphological operation on MRI image, the image was first
filtered using Anisotropic Diffusion Filter to reduce contrast between consecutive
pixels. After that the image was resized and utilizing a threshold value image was
converted to a black and white image manually. This primary filter the plausible
locations for tumor presence.
On this semi processed image morphological operations have been applied and
information on solidity and areas of the plausible locations was obtained. A
minimum value of both of this characters has been determined from statistical
average of different MRI images containing tumor. Then it was used to deliver final
detection result.
Though this simulation routine can give correct result most of the time, it fails to
perform when tumor’s size is too small or tumor is hollow.
The larger goal of the project is to build a data base of 2D image data of tumor from
the MRI images taken from different angle of a particular human and by analyzing
them to point out the exact 3D location of the tumor . To fulfill this, 2D tumor
detection and segmentation have been developed to better accuracy so that 3D
detection can be more reliable. This is the primary target of the project.

Cite As

shazid mahmood (2024). Brain tumor detection from MRI images using anisotropic filter and segmentation image processing (, MATLAB Central File Exchange. Retrieved .

MATLAB Release Compatibility
Created with R2017a
Compatible with any release
Platform Compatibility
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