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基于多能谱CT与NC-POCS重建算法的泡沫铝孔隙率计算
引用本文:乔鹏刚,魏交统,潘晋孝.基于多能谱CT与NC-POCS重建算法的泡沫铝孔隙率计算[J].CT理论与应用研究,2021,30(1):71-80.
作者姓名:乔鹏刚  魏交统  潘晋孝
作者单位:中北大学 a)理学院;b)信息与通信工程学院, 太原 030051
基金项目:山西省自然科学基金;国家自然科学基金;山西省研究生创新项目
摘    要:孔隙率是评价多孔材料相关性能的重要因素之一,是检测材料质量的一项重要指标。针对孔隙率值受分辨率影响较大的问题,在能谱与材质信息均未知的条件下,本文基于多能谱CT与(NC-POCS)非凸-凸集投影算法,结合非负矩阵求解方法,实现分解重建,以多孔材料泡沫铝为例,分析其在不同分辨率下的孔隙率变化情况。实验结果表明,本文提出的算法具有抑制射束硬化伪影的效果,并且测得的孔隙率值受分辨率影响较小。 

关 键 词:孔隙率    多能谱CT成像    非负矩阵分解    NC-POCS算法
收稿时间:2020-11-24

Calculation of Aluminum Foam Porosity Based on Multi-spectrum CT and NC-POCS Reconstruction Algorithm
QIAO Penggang,WEI Jiaotong,PAN Jinxiao.Calculation of Aluminum Foam Porosity Based on Multi-spectrum CT and NC-POCS Reconstruction Algorithm[J].Computerized Tomography Theory and Applications,2021,30(1):71-80.
Authors:QIAO Penggang  WEI Jiaotong  PAN Jinxiao
Affiliation:a). School of Science;b). Collage of Information and Telecommunication, North University of China, Taiyuan 030051, China
Abstract:Porosity is one of the important factors to evaluate the related properties of porous materials and an important index for material quality inspection. To solve the problem that the porosity value is greatly affected by the resolution, under the condition that the spectrum and material information are unknown, this paper, based on the multi-spectrum CT and NC-POCS(non-convex projection onto convex sets) algorithm and combined with the non-negative matrix factorization method, realizes decomposition image reconstruction. Taking the porous material aluminum foam as an example, we analyze the porosity change of the porous material under different resolutions. The experimental results show that the proposed algorithm can suppress the hardening artifacts, and the measured porosity is less affected by the resolution. 
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