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 language | English |
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Journal | IS and T International Symposium on Electronic Imaging Science and Technology |
DOIs | |
State | Published - 2016 |
Event | Computational Imaging XIV 2016 - San Francisco, United States Duration: Feb 14 2016 → Feb 18 2016 |
Funding
This effort came from the U.S. Department of Energy through an early career award out of the Office of Basic Energy Sciences which also sponsors both the High Flux Isotope Reactor and the Center for Nanophase Materials Sciences at Oak Ridge National Laboratory where portions of this research were performed.
Funders | Funder number |
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Center for Nanophase Materials Sciences | |
Office of Basic Energy Sciences | |
U.S. Department of Energy | |
Oak Ridge National Laboratory |