I have solution for this :
Computed Tomography Reconstruction
Step 1:Create a phantom image with a square object centered at origin. The size of the FOV is
256 by 256 elements with each element is 1 mm 2 . The size of the object is 64 mm by 64 mm.
Step 2: Generate the sinogram data using customized forward projection codes, compare your
results with that obtained using “radon” function. Display the sinogram and label the figure correctly.
Step 3: Reconstruct the phantom object using unfiltered/simple back projection algorithm.
Display the laminogram and label the figure correctly. Discuss the reasons of blurring.
Step 4: [bonus 40 pts] Reconstruct the phantom object using filtered back projection algorithm. Display
the recon results and label the figure correctly. Discuss the practical implementation issues. You can also
use different filtering function/kernels. Display the filters in both Fourier and spatial
domain, compare the unfiltered and filtered sinogram.
AND NEED TO UNDERSTAND THE SOLUTION FOR THE ABOVE QUESTIONS AND RE-WRITE IT TO SOLVE THESE :
(0) Generate the original object image
(1) Develop your own codes and determine the projection (compare with results generated by
(2) Reconstruct the object back using backprojection method. Explain why it is blurred.
(3) Reconstruct the object back using FBP method. Submit your original codes.
(4) Discuss the effect of limited angles in reconstruction.
PLEASE DON'T BID ON MY QUESTION