Non-uniform neutron source approximation for iterative reconstruction of coded source images

Hector J. Santos-Villalobos, Jens Gregor, Philip Bingham

Research output: Contribution to journalConference article

Abstract

X-ray and neutron optics both lack efficient ray focusing capabilities. An x-ray source can be made small and powerful enough to facilitate high-resolution imaging while providing adequate flux. This is not yet possible for neutrons. One remedy is to employ a computational imaging technique such as magnified coded source imaging. The greatest challenge associated with successful reconstruction of high-resolution images from such radiographs is to precisely model the flux distribution for complex non-uniform neutron sources. We have developed a framework based on Monte Carlo simulation and iterative reconstruction that facilitates high-resolution coded source neutron imaging. In this paper, we define a methodology to empirically measure and approximate the flux profile of a non-uniform neutron source, and we show how to incorporate the result within the forward model of an iterative reconstruction algorithm. We assess improvement in image quality by comparing reconstructions based respectively on the new empirical forward model and our previous analytic models.

Original languageEnglish (US)
JournalIS and T International Symposium on Electronic Imaging Science and Technology
DOIs
StatePublished - Jan 1 2016
EventComputational Imaging XIV 2016 - San Francisco, United States
Duration: Feb 14 2016Feb 18 2016

Fingerprint

Neutron sources
neutron sources
Imaging techniques
Fluxes
approximation
high resolution
Neutrons
neutrons
X rays
x ray sources
geometrical optics
Image resolution
imaging techniques
Image quality
Optics
rays
optics
methodology
profiles
x rays

All Science Journal Classification (ASJC) codes

  • Computer Graphics and Computer-Aided Design
  • Computer Science Applications
  • Human-Computer Interaction
  • Software
  • Electrical and Electronic Engineering
  • Atomic and Molecular Physics, and Optics

Cite this

Non-uniform neutron source approximation for iterative reconstruction of coded source images. / Santos-Villalobos, Hector J.; Gregor, Jens; Bingham, Philip.

In: IS and T International Symposium on Electronic Imaging Science and Technology, 01.01.2016.

Research output: Contribution to journalConference article

@article{c5dc1847c6a34ea9b35fc22f396e57d4,
title = "Non-uniform neutron source approximation for iterative reconstruction of coded source images",
abstract = "X-ray and neutron optics both lack efficient ray focusing capabilities. An x-ray source can be made small and powerful enough to facilitate high-resolution imaging while providing adequate flux. This is not yet possible for neutrons. One remedy is to employ a computational imaging technique such as magnified coded source imaging. The greatest challenge associated with successful reconstruction of high-resolution images from such radiographs is to precisely model the flux distribution for complex non-uniform neutron sources. We have developed a framework based on Monte Carlo simulation and iterative reconstruction that facilitates high-resolution coded source neutron imaging. In this paper, we define a methodology to empirically measure and approximate the flux profile of a non-uniform neutron source, and we show how to incorporate the result within the forward model of an iterative reconstruction algorithm. We assess improvement in image quality by comparing reconstructions based respectively on the new empirical forward model and our previous analytic models.",
author = "Santos-Villalobos, {Hector J.} and Jens Gregor and Philip Bingham",
year = "2016",
month = "1",
day = "1",
doi = "10.2352/ISSN.2470-1173.2016.19.COIMG-172",
language = "English (US)",
journal = "IS and T International Symposium on Electronic Imaging Science and Technology",
issn = "2470-1173",

}

TY - JOUR

T1 - Non-uniform neutron source approximation for iterative reconstruction of coded source images

AU - Santos-Villalobos, Hector J.

AU - Gregor, Jens

AU - Bingham, Philip

PY - 2016/1/1

Y1 - 2016/1/1

N2 - X-ray and neutron optics both lack efficient ray focusing capabilities. An x-ray source can be made small and powerful enough to facilitate high-resolution imaging while providing adequate flux. This is not yet possible for neutrons. One remedy is to employ a computational imaging technique such as magnified coded source imaging. The greatest challenge associated with successful reconstruction of high-resolution images from such radiographs is to precisely model the flux distribution for complex non-uniform neutron sources. We have developed a framework based on Monte Carlo simulation and iterative reconstruction that facilitates high-resolution coded source neutron imaging. In this paper, we define a methodology to empirically measure and approximate the flux profile of a non-uniform neutron source, and we show how to incorporate the result within the forward model of an iterative reconstruction algorithm. We assess improvement in image quality by comparing reconstructions based respectively on the new empirical forward model and our previous analytic models.

AB - X-ray and neutron optics both lack efficient ray focusing capabilities. An x-ray source can be made small and powerful enough to facilitate high-resolution imaging while providing adequate flux. This is not yet possible for neutrons. One remedy is to employ a computational imaging technique such as magnified coded source imaging. The greatest challenge associated with successful reconstruction of high-resolution images from such radiographs is to precisely model the flux distribution for complex non-uniform neutron sources. We have developed a framework based on Monte Carlo simulation and iterative reconstruction that facilitates high-resolution coded source neutron imaging. In this paper, we define a methodology to empirically measure and approximate the flux profile of a non-uniform neutron source, and we show how to incorporate the result within the forward model of an iterative reconstruction algorithm. We assess improvement in image quality by comparing reconstructions based respectively on the new empirical forward model and our previous analytic models.

UR - http://www.scopus.com/inward/record.url?scp=85046054136&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85046054136&partnerID=8YFLogxK

U2 - 10.2352/ISSN.2470-1173.2016.19.COIMG-172

DO - 10.2352/ISSN.2470-1173.2016.19.COIMG-172

M3 - Conference article

JO - IS and T International Symposium on Electronic Imaging Science and Technology

JF - IS and T International Symposium on Electronic Imaging Science and Technology

SN - 2470-1173

ER -