Dual-energy iterative reconstruction for material characterisation

被引：2
|
作者：
Recur, B. [1 ]
Paziresh, M. [1 ]
Myers, G. [1 ]
Kingston, A. [1 ]
Latham, S. [1 ]
Sheppard, A. [1 ]
机构：
[1] Australian Natl Univ, Dept Appl Maths, RSPE, Canberra, ACT, Australia
来源：
DEVELOPMENTS IN X-RAY TOMOGRAPHY IX | 2014年 / 9212卷
关键词：
Dual-Energy; X-Ray Tomography; Material Characterisation; Iterative Reconstructions; ALGORITHMS;
D O I：
10.1117/12.2062442
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
In this paper, we develop a dual-energy ordered subsets convex method for transmission tomography based on material matching with a material dictionary. This reconstruction includes a constrained update forcing material characteristics of reconstructed atomic number (Z) and density (rho) volumes to follow a distribution according to the material database provided. We also propose a probabilistic classification technique in order to manage this material distribution. The overall process produces a chemically segmented volume data and outperforms sequential labelling computed after tomographic reconstruction.
引用
收藏
页数：9
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