Iterative CT reconstruction

Reducing the image noise in in-vivo micro Computerized Tomography (μCT) is important to improve the image quality and maintain diagnostic confidence. Theoretically, the images can be improved by using longer acquisition times. However, because of the limitations on administrated dose and anesthetics other approaches need to be considered. The goal of this work is to find regularization for sparse-view reconstruction and image denoising in general.