Statistical iterative reconstruction using adaptive fractional order regularization

Biomed Opt Express. 2016 Feb 24;7(3):1015-29. doi: 10.1364/BOE.7.001015. eCollection 2016 Mar 1.

Abstract

In order to reduce the radiation dose of the X-ray computed tomography (CT), low-dose CT has drawn much attention in both clinical and industrial fields. A fractional order model based on statistical iterative reconstruction framework was proposed in this study. To further enhance the performance of the proposed model, an adaptive order selection strategy, determining the fractional order pixel-by-pixel, was given. Experiments, including numerical and clinical cases, illustrated better results than several existing methods, especially, in structure and texture preservation.

Keywords: (100.6950) Tomographic image processing; (110.7440) X-ray imaging; (170.3880) Medical and biological imaging.