Abstract
A National Institutes of Health (NIH) and U.S. Department of Energy (DOE) Office of Science virtual workshop on shared general topics was held in July of 2021 and reported on in this publication in January of 2023. Following the inaugural 2021 joint meeting representatives from the DOE Office of Science and NIH met to discuss organizing a second joint workshop that would concentrate on radiation detection to bring together teams from both agencies and their grantee populations to stimulate collaboration and efficiency. To meet this scientific mission within the NIH and DOE radiation detection space, the organizers assembled workshop sessions covering the state-of-the-art in cameras, detectors, and sensors for radiation external and internal (diagnostic and therapeutic) to human, data acquisition and electronics, image reconstruction and processing, and the application of artificial intelligence. NIH and DOE are committed to continuing the process of convening a joint workshop every 12–24 months. This Special Report recaps the findings of this second workshop. Beyond showing only the innovations and areas of success, important gaps in our knowledge were defined and presented. We summarize by defining four areas of greatest opportunity and need that emerged from the unique, dynamic dialogue the in-person workshop provided the attendees.
Original language | English |
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Pages (from-to) | 8654-8669 |
Number of pages | 16 |
Journal | Medical Physics |
Volume | 51 |
Issue number | 12 |
DOIs | |
State | Published - Dec 2024 |
Funding
The authors thank NIH and DOE Office of Science for providing funds to facilitate the workshop. This material is based on work supported by the U.S. Department of Energy, Office of Science, Office of Nuclear Physics under contract DE-AC05-06OR23177. Opinions presented in this work represent those of the authors and do not represent official statements, opinions, or positions of the United States Government. This material should not be interpreted as representing the viewpoint of the U.S. Department of Health and Human Services, the National Institutes of Health, or the National Institute of Biomedical Imaging and Bioengineering (NIBIB) and the National Cancer Institute (NCI). This manuscript has been authored by UT-Battelle, LLC under Contract No. DE-AC05-00OR22725 with the U.S. Department of Energy. The publisher, by accepting the article for publication, acknowledges that the U.S. Government retains a non-exclusive, paid up, irrevocable, world-wide license to publish or reproduce the published form of the manuscript, or allow others to do so, for U.S. Government purposes. The DOE will provide public access to these results in accordance with the DOE Public access Plan (https://www.energy.gov/doe-public-access-plan). The authors wish to thank Julie Hong, MS, of the NCI's Radiation Research Program for her help setting up the infrastructure to permit the collaboration of the authorship team. Additionally, the authors thank Tatjana Atanasijevic and Behrouz Shabestari of the Division of Health Informatics Technologies at NIBIB and Michael King of UMass Chan Medical School for their time and assistance in writing this report. The authors wish to recognize the scientific speaker contributions to the meeting of the following individuals (in chronological order of their presentations, please see https://indico.jlab.org/event/693/): Katsuyuki Taguchi, Dave Mack, Mark Croce, Josh Cates, Rodney Wiersma, Zhong He, Mike Dion, Shiva Abbaszadeh, Craig Woody, Lars Furenlid, Todd Peterson, Sun Il Kwon, Pavel Degtiarenko, Emilie Roncali, Ben Clasi, Yuni Dewaraja, Kondo Gnanvo, L.J. Meng, Robert Miyaoka, Ricardo Alacron, Chien-Min Kao, David Abbott, Galen O'Neil, Wenze Xi, Petr Bruza, Paul Boisseau, Christophe Royon, Georges El Fakhri, Joseph Perl, Mark Smith, Yong Du, Richard Milner, Emil Sidky, Francesca Zanderigo, Mike Williams, Joyita Dutta, Shimin Tang, Chi Liu, and Larry Ruckman. The authors thank NIH and DOE Office of Science for providing funds to facilitate the workshop. This material is based on work supported by the U.S. Department of Energy, Office of Science, Office of Nuclear Physics under contract DE\u2010AC05\u201006OR23177. Opinions presented in this work represent those of the authors and do not represent official statements, opinions, or positions of the United States Government. This material should not be interpreted as representing the viewpoint of the U.S. Department of Health and Human Services, the National Institutes of Health, or the National Institute of Biomedical Imaging and Bioengineering (NIBIB) and the National Cancer Institute (NCI). This manuscript has been authored by UT\u2010Battelle, LLC under Contract No. DE\u2010AC05\u201000OR22725 with the U.S. Department of Energy. The publisher, by accepting the article for publication, acknowledges that the U.S. Government retains a non\u2010exclusive, paid up, irrevocable, world\u2010wide license to publish or reproduce the published form of the manuscript, or allow others to do so, for U.S. Government purposes. The DOE will provide public access to these results in accordance with the DOE Public access Plan ( https://www.energy.gov/doe\u2010public\u2010access\u2010plan ). The authors wish to thank Julie Hong, MS, of the NCI's Radiation Research Program for her help setting up the infrastructure to permit the collaboration of the authorship team. Additionally, the authors thank Tatjana Atanasijevic and Behrouz Shabestari of the Division of Applied Science & Technology at NIBIB and Michael King of UMass Chan Medical School for their time and assistance in writing this report. The authors wish to recognize the scientific speaker contributions to the meeting of the following individuals (in chronological order of their presentations, please see https://indico.jlab.org/event/693/ ): Katsuyuki Taguchi, Dave Mack, Mark Croce, Josh Cates, Rodney Wiersma, Zhong He, Mike Dion, Shiva Abbaszadeh, Craig Woody, Lars Furenlid, Todd Peterson, Sun Il Kwon, Pavel Degtiarenko, Emilie Roncali, Ben Clasi, Yuni Dewaraja, Kondo Gnanvo, L.J. Meng, Robert Miyaoka, Ricardo Alacron, Chien\u2010Min Kao, David Abbott, Galen O'Neil, Wenze Xi, Petr Bruza, Paul Boisseau, Christophe Royon, Georges El Fakhri, Joseph Perl, Mark Smith, Yong Du, Richard Milner, Emil Sidky, Francesca Zanderigo, Mike Williams, Joyita Dutta, Shimin Tang, Chi Liu, and Larry Ruckman.
Funders | Funder number |
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National Institute of Biomedical Imaging and Bioengineering | |
Shiva Abbaszadeh | |
U.S. Government | |
National Institutes of Health | |
U.S. Department of Energy | |
U.S. Department of Health and Human Services | |
Michael King of UMass Chan Medical School | |
Office of Science | |
Division of Health Informatics Technologies | |
Larry Ruckman | |
Nuclear Physics | DE‐AC05‐06OR23177 |
National Cancer Institute | DE-AC05-00OR22725 |
Keywords
- Department of Energy
- National Institutes of Health
- inter-agency collaboration
- radiation detectors