Improving dynamic tomography, through Maximum a Posteriori estimation

被引：6
|
作者：
Myers, Glenn R. [1 ]
Geleta, Matthew [2 ]
Kingston, Andrew M. [1 ]
Recur, Benoit [1 ]
Sheppard, Adrian P. [1 ]
机构：
[1] Australian Natl Univ, GPO Box 4, Canberra, ACT 0200, Australia
[2] Univ Melbourne, Melbourne, Vic 3010, Australia
来源：
DEVELOPMENTS IN X-RAY TOMOGRAPHY IX | 2014年 / 9212卷
基金：
澳大利亚研究理事会;
关键词：
Computed tomography; dynamic tomography; fluid flow; 4D tomography; maximum a posteriori; Bayesian; micro computed tomography; time-resolved tomography; PROJECTION DATA; RECONSTRUCTION; IMAGES; CT;
D O I：
10.1117/12.2061604
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：
Direct study of pore-scale fluid displacements, and other dynamic (i.e. time-dependent) processes is not feasible with conventional X-ray micro computed tomography (pCT). We have previously verified that a priori knowledge of the underlying physics can be used to conduct high-resolution, time-resolved imaging of continuous, complex processes, at existing X-ray /XI facilities. In this paper we present a maximum a posteriori (MAP) model of the dynamic tomography problem, which allows us to easily adapt and generalise our previous dynamic /XI approach to systems with more complex underlying physics.
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收藏
页数：9
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