A streak artifact reduction algorithm in sparse‐view CT using a self‐supervised neural representation-Reference-Cited by-同舟云学术

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A streak artifact reduction algorithm in sparse‐view CT using a self‐supervised neural representation

Published:2022-08-08 Issue:12 Volume:49 Page:7497-7515
ISSN:0094-2405
Container-title:Medical Physics
language:en
Short-container-title:Medical Physics

Author:

Kim Byeongjoon¹^ORCID,Shim Hyunjung¹,Baek Jongduk¹

Affiliation:

1. School of Integrated Technology Yonsei University Incheon South Korea

Funder

Ministry of Trade, Industry and Energy

Ministry of Food and Drug Safety

Ministry of Science and ICT, South Korea

Publisher

Wiley

Subject

General Medicine

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/mp.15885

Reference62 articles.

1. Computed Tomography — An Increasing Source of Radiation Exposure

2. Projected Cancer Risks From Computed Tomographic Scans Performed in the United States in 2007

3. Volume CT with a flat-panel detector on a mobile, isocentric C-arm: Pre-clinical investigation in guidance of minimally invasive surgery

4. Evaluation of sparse-view reconstruction from flat-panel-detector cone-beam CT

5. Flat-panel cone-beam computed tomography for image-guided radiation therapy

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4. Prior-Based Enhanced ASD-POCS for Artifact Suppression and Structural Preservation in Sparse-View CBCT;Proceedings of the 39th ACM/SIGAPP Symposium on Applied Computing;2024-04-08

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