Here we explain the utility of Compressed Sensing in Tomographic reconstruction. We take 18 parallel beam projections from a MR volume of the brain and perform filtered back-propagation using Ram-Lak filter , individual compressive reconstruction and 2-3 slice cs recovery for utilising the consecutive capture redundancies.
The code is present in /Code. Main code is present in TomographyCS.m. You will find the function handles used to mimic radon(idct2()) and iradon(dct2()) inside the @radonDCT, @radonDCT2, @radonDCT3 folders.
execute TomographyCS.m to reconstruct the results.
