1. Restoring Tumorous MRI Brain Images
Yadavan Varatharajah
Western Guilford, Greensboro, NC
Summer Ventures in Science and Mathematics
Visual and Image Processing
Dr. Rahman Tashakkori, Mr. Jere Miles
Appalachian State University
July 28, 2007

2. What is a brain tumor?
The growth of abnormal cells in the tissues of the brain.
Created by abnormal and uncontrolled cell division.
Studies show that brain tumors are more frequent among workers in certain industries.

3. Why restore images?
Removes or minimizes some known degradation in an image.
Occurs in satellite imaging, medical imaging, astronomical imaging, and poor-quality family portraits.

4. Uncorrupted Images

5. MATLAB Commands to blur
PSF = fspecial(‘gaussian’, 7, 10);
Blurred = imfilter(f , PSF , ’symmetric’ , ’conv’);
figure; imshow(Blurred); title(‘Blurred Image’);

6. Blurred images

7. MATLAB Commands to restore
INITPSF = ones(size(PSF));
[f P] = deconvblind(Blurred, INITPSF, 30);
figure; imshow(f); title(‘Restored Image’);
figure; imshow(P, [ ] , ’notruesize’);

8. Restored Images

9. Results
Both grey-scale and color images restored back to its original image.
Though random, the blind filter equally distorted both images.
Tumor was more visible in the blurred color image than the grey-scale image.

10. Conclusion
For effective restoration, the image should go through many filters.
Image restoration takes a long time to do.
Image restoration can be a powerful tool in many areas.

11. Acknowledgements Dr. Rahman Tashakkori Mr. Jere Miles Ms. Lori Tyler
Mr. Jon Bradshaw
Mr. Jon Burr
Dr. John Aarsvold
My Parents (Dr. Rajah Varatharajah & Sakthy Varatharajah)