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Title: Real-time Free-moving Active Coded Mask 3D Gamma-Ray Imaging

Abstract

The ability to localize and map the distribution of gamma-ray emitting radionuclides in 3D has applications ranging from medical imaging to nuclear security. In the case of radiological source search and nuclear contamination remediation, the deployment of freely moving detection systems such as hand- held instruments or ground/aerial-based vehicles are critical in overcoming the inverse square law and complex shielding scenarios. Using contextual sensors, these systems can simultaneously generate 3D maps of the surrounding environment and track the position and orientation of the gamma-ray sensitive detectors in that environment. The fusion of contextual scene data and gamma-ray detector data to facilitate real-time 3D gamma-ray image reconstruction has been demonstrated with mobile HPGe and CdZnTe-based Compton cameras for gamma-ray energies ranging from a few hundred keV to several MeV. Here we apply this approach for lower energy (50-400 keV) gamma-rays, using a hand-held CdZnTe-based omnidirectional imaging system and an active coded mask imaging modality. Here, we present our approach to real-time reconstruction using a scene data constrained GPU- accelerated list-mode MLEM algorithm and show results from several measurements in the lab and in the field.

Authors:
 [1];  [2];  [2];  [3];  [2];  [2]
  1. Univ. of California, Berkeley, CA (United States)
  2. Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
  3. Openwater, San Francisco, CA (United States)
Publication Date:
Research Org.:
Univ. of California, Berkeley, CA (United States). Nuclear Science and Security Consortium
Sponsoring Org.:
USDOE National Nuclear Security Administration (NNSA), Office of Nonproliferation and Verification Research and Development (NA-22)
OSTI Identifier:
1562118
Grant/Contract Number:  
NA0003180
Resource Type:
Accepted Manuscript
Journal Name:
IEEE Transactions on Nuclear Science
Additional Journal Information:
Journal Name: IEEE Transactions on Nuclear Science; Journal ID: ISSN 0018-9499
Publisher:
IEEE
Country of Publication:
United States
Language:
English
Subject:
73 NUCLEAR PHYSICS AND RADIATION PHYSICS; 3D gamma-ray imaging; spherical active coded mask; real-time imaging; scene data fusion

Citation Formats

Hellfeld, Daniel, Barton, Paul, Gunter, Donald, Haefner, Andrew, Mihailescu, Lucian, and Vetter, Kai. Real-time Free-moving Active Coded Mask 3D Gamma-Ray Imaging. United States: N. p., 2019. Web. doi:10.1109/TNS.2019.2939948.
Hellfeld, Daniel, Barton, Paul, Gunter, Donald, Haefner, Andrew, Mihailescu, Lucian, & Vetter, Kai. Real-time Free-moving Active Coded Mask 3D Gamma-Ray Imaging. United States. doi:10.1109/TNS.2019.2939948.
Hellfeld, Daniel, Barton, Paul, Gunter, Donald, Haefner, Andrew, Mihailescu, Lucian, and Vetter, Kai. Fri . "Real-time Free-moving Active Coded Mask 3D Gamma-Ray Imaging". United States. doi:10.1109/TNS.2019.2939948.
@article{osti_1562118,
title = {Real-time Free-moving Active Coded Mask 3D Gamma-Ray Imaging},
author = {Hellfeld, Daniel and Barton, Paul and Gunter, Donald and Haefner, Andrew and Mihailescu, Lucian and Vetter, Kai},
abstractNote = {The ability to localize and map the distribution of gamma-ray emitting radionuclides in 3D has applications ranging from medical imaging to nuclear security. In the case of radiological source search and nuclear contamination remediation, the deployment of freely moving detection systems such as hand- held instruments or ground/aerial-based vehicles are critical in overcoming the inverse square law and complex shielding scenarios. Using contextual sensors, these systems can simultaneously generate 3D maps of the surrounding environment and track the position and orientation of the gamma-ray sensitive detectors in that environment. The fusion of contextual scene data and gamma-ray detector data to facilitate real-time 3D gamma-ray image reconstruction has been demonstrated with mobile HPGe and CdZnTe-based Compton cameras for gamma-ray energies ranging from a few hundred keV to several MeV. Here we apply this approach for lower energy (50-400 keV) gamma-rays, using a hand-held CdZnTe-based omnidirectional imaging system and an active coded mask imaging modality. Here, we present our approach to real-time reconstruction using a scene data constrained GPU- accelerated list-mode MLEM algorithm and show results from several measurements in the lab and in the field.},
doi = {10.1109/TNS.2019.2939948},
journal = {IEEE Transactions on Nuclear Science},
number = ,
volume = ,
place = {United States},
year = {2019},
month = {9}
}

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This content will become publicly available on September 6, 2020
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