Statistical Iterative Reconstruction Using Adaptive Fractional Order Regularization

Overview

Journal Biomed Opt Express

Specialty Radiology

Date 2016 May 28

PMID 27231604

Citations 17

Authors

Yi Zhang

Yan Wang

Weihua Zhang

Feng Lin

Yifei Pu

Jiliu Zhou

Affiliations

Soon will be listed here.

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.

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