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

页数：9

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