- This computer assignment will examine the utility of backprojection, filtered backprojection, and iterative algebraic reconstruction techniques (ART) in computed tomography, using relatively noise-free data and a clinical projection data set.
PROJA.MAT - raw projection data consisting of 256 angles of projection data from 0 to 180 degrees, each row of which is 64 elements long. A 64 x 64 image can be reconstructed using this data. The image is essentially noise-free, but the projection data suffers from interpolation and aliasing errors.
ORIG.IMG - 64 x 64 eight bit original image, which was used to generate the above projection data set.
PROJB.MAT - raw projection data consisting of 32 angles of projection data from 0 to 180 degrees, each row of which is 64 elements long. A 64 x 64 image can be reconstructed using this data. This data is projection data from a nuclear medicine SPECT stress thallium cardiac study. It is quite noisy, due to the low count rate. When properly reconstructed, the left ventricle of the heart should appear as a "C" shaped object to the left of center in the image. (Get PROJA.MAT to work properly before moving on to this data set.)
Run the test.m file. It will give the image after 1 iteration and 10 iteration. You can also see the image after each iteration.
The output image is also given.