Fusing Sparsity with Deep Learning for Rotating Scatter Mask Gamma Imaging-Reference-Cited by-同舟云学术

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Fusing Sparsity with Deep Learning for Rotating Scatter Mask Gamma Imaging

Published:2022-11-05 Issue: Volume: Page:1-5
ISSN:
Container-title:2022 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC)
language:
Short-container-title:

Author:

Zhu Yilun¹,Scott Clayton D.¹,Holland Darren E.²,Landon George V.³,Fjeldsted Aaron P.⁴,Lintereur Azaree T.⁴

Affiliation:

1. University of Michigan,Department of Electrical Engineering and Computer Science

2. Air Force Institute of Technology,Department of Engineering Physics

3. Cedarville University,School of Engineering and Computer Science

4. Penn State University,Ken and Mary Alice Lindquist Department of Nuclear Engineering

Funder

Defense Threat Reduction Agency

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10398888/10398889/10399334.pdf?arnumber=10399334

Reference18 articles.

1. Gamma-ray Imaging Methods

2. A Rotating Scatter Mask for Inexpensive Gamma-Ray Imaging in Orphan Source Search: Simulation Results

3. Maximum likelihood reconstructions for rotating scatter mask imaging

4. Bayesian image reconstruction for emission tomography based on median root prior

5. Regenerative neural network for rotating scatter mask radiation imaging

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