CAV block-column iterative method for computed tomographic (CT) problems

This study revolves around the investigation of tomography and its mathematical modelling. In this regard, the CAV block-column iterative algorithm is proposed to reconstruct a high-quality image of a specific object. Indeed, this algorithm is applied for solving the problem of image reconstruction associated with computed tomography (CT). Then, the effects of both the relaxation parameter and the number of blocks are investigated on the convergence speed and the control of the semi-convergence phenomenon in this kind of iterative algorithm. Results show that a significant improvement in convergence speed and relative error can be achieved by a suitable choice of the relaxation parameter value.

کلیدواژه ها:

Tomography ، Component averaging (CAV) Iterative method ، Relaxation parameter ، Block-column algorithm ، Semi-convergence phenomenon