Parallel-Beam CT Reconstruction Based on Mojette Transform and Compressed Sensing

A novel frame of parallel-beam Computerized Tomography (CT) reconstruction is proposed. The CTprojections are firstly converted to Mojette projections. Then1D Fourier transform is applied to the modified Mojetteprojections, followed by an exact mapping of the gainedFourier coefficients to the 2D Fourier domain of the scanningobject. Finally the scanning object can be reconstructed fromthe partial Fourier coefficients by compressed sensing (CS).Experimental results show that using this frame, the purpose ofreducing the radiation dosage during CT examinations withoutcompromising the image quality can be achieved.