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.
引用
收藏
页数：9
相关论文
共 50 条
  • [1] Maximum a posteriori estimation of image boundaries by dynamic programming
    Glasbey, CA
    Young, MJ
    JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES C-APPLIED STATISTICS, 2002, 51 : 209 - 221
  • [2] Maximum a Posteriori Estimation of Image Boundaries by Dynamic Programming
    Glasbey, C. A.
    Young, M. J.
    JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES C-APPLIED STATISTICS, 2002, 51 (02) : 209 - 221
  • [3] Distributed Maximum a Posteriori Probability Estimation for Tracking of Dynamic Systems
    Jakubiec, Felicia Y.
    Ribeiro, Alejandro
    2012 CONFERENCE RECORD OF THE FORTY SIXTH ASILOMAR CONFERENCE ON SIGNALS, SYSTEMS AND COMPUTERS (ASILOMAR), 2012, : 1478 - 1482
  • [4] Fluorescence molecular tomography based on an online maximum a posteriori estimation algorithm
    Cheng, Xia
    Sun, Siyu
    Xiao, Yinglong
    Li, Wenjing
    Li, Jintao
    Yu, Jingjing
    Guo, Hongbo
    JOURNAL OF THE OPTICAL SOCIETY OF AMERICA A-OPTICS IMAGE SCIENCE AND VISION, 2024, 41 (05) : 844 - 851
  • [5] Improving maximum likelihood estimation using prior probabilities: A tutorial on maximum a posteriori estimation and an examination of the weibull distribution
    Cousineau, Denis
    Helie, Sebastien
    TUTORIALS IN QUANTITATIVE METHODS FOR PSYCHOLOGY, 2013, 9 (02): : 61 - 71
  • [6] Quantitative optical coherence tomography by maximum a-posteriori estimation of signal intensity
    Chan, Aaron C.
    Kurokawa, Kazuhiro
    Makita, Shuichi
    Hong, Young-Joo
    Miyazawa, Arata
    Miura, Masahiro
    Yasuno, Yoshiaki
    OPTICAL COHERENCE TOMOGRAPHY AND COHERENCE DOMAIN OPTICAL METHODS IN BIOMEDICINE XX, 2016, 9697
  • [7] Maximum a posteriori estimation of crystallographic phases in X-ray diffraction tomography
    Guersoy, Doga
    Bicer, Tekin
    Almer, Jonathan D.
    Kettimuthu, Raj
    Stock, Stuart R.
    De Carlo, Francesco
    PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES, 2015, 373 (2043):
  • [8] On a posteriori error estimation in the maximum norm
    Boman, Mats
    Doktorsavhandlingar vid Chalmers Tekniska Hogskola, 2000, (1647): : 1 - 15
  • [9] Word Embedding as Maximum A Posteriori Estimation
    Jameel, Shoaib
    Fu, Zihao
    Shi, Bei
    Lam, Wai
    Schockaert, Steven
    THIRTY-THIRD AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE / THIRTY-FIRST INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE / NINTH AAAI SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCE, 2019, : 6562 - 6569
  • [10] MAXIMUM A POSTERIORI ESTIMATION OF SIGNAL RANK
    Sirianunpiboon, Songsri
    Howard, Stephen D.
    Cochran, Douglas
    2014 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP), 2014,
12345