Effect of the data constraint on few-view, fan-beam CT image reconstruction by TV minimization

Application of the total variation (TV) minimization algorithm is applied to image reconstruction in few-view fan-beam computed tomography (CT). In particular, the impact of noise is investigated for different levels of tolerance on the data error. The artifacts due to noise are seen to vary dramatically in spatial frequency as the data error tolerance changes.