Iterative Image Reconstruction Algorithms on a Multi-core system based on PSNR optimization

Abstract

Iterative reconstruction methods applied to Image reconstruction in Computer Tomography is versatile and result in possibly better-quality images than FBP in limited number of projections. But these methods suffer from long reconstruction time. The main objective of this research is to reduce the time complexity by improving the performance of reconstruction algorithms. To minimize the reconstruction time, in the three algorithms - ART, MLEM and MAPEM parallel programming technique is implemented in a shared memory processing environment and pART, pMLEM and pMAPEM algorithm are introduced.