Regularization based CT image reconstruction using Algebraic techniques

Computed tomography is an imaging modality which is widely used in medical imaging nowadays. The main disadvantage of this technique is the prolonged radiation exposure which causes the problem to patients and reproduced images. Proposed method reduces the exposure time, by limiting the number of projections and reconstructs good quality image. The method combines Simultaneous Algebraic reconstruction technique (SART) and total variation (TV) with Bregman iteration. Bregman iteration improves contrast and increases signal to noise ratio. The numerical results explain the efficiency of proposed work in evaluation with other existing methods.