Block matching frame based material reconstruction for spectral CT.

Block matching frame based material reconstruction for spectral CT.
Phys Med Biol. 2019 Oct 28;:
Authors: Wu W, Wang Q, Liu F, Zhu Y, Yu H
Abstract
Spectral computed tomography (CT) has a great potential in material identification and decomposition. To achieve high-quality material composition images and further suppress the x-ray beam hardening artifacts, we first propose a one-step material reconstruction model based on Taylor's first-order expansion. Then, we develop a basic material reconstruction method named material simultaneous algebraic reconstruction technique (MSART). Considering the local similarity of each material image, we incorporate a powerful block matching frame (BMF) into the material reconstruction (MR) model and generate a BMF based MR (BMFMR) method. Because the BMFMR model contains the L0-norm problem, we adopt a split-Bregman method for optimization. The numerical simulation and physical phantom experiment results validate the correctness of the material reconstruction algorithms and demonstrate that the BMF regularization outperforms the total variation and no-local mean regularizations.
PMID: 31658457 [PubMed - as supplied by publisher]

Source: Physics in Medicine and Biology - October 27, 2019 Category: Physics Authors: Wu W, Wang Q, Liu F, Zhu Y, Yu H Tags: Phys Med Biol Source Type: research