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12/26/2023 12:35:45 PM | Browse: 177 | Download: 656
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Received |
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2023-10-22 22:46 |
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Peer-Review Started |
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2023-10-22 22:47 |
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To Make the First Decision |
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Return for Revision |
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2023-11-02 08:06 |
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Revised |
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2023-11-12 02:54 |
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Second Decision |
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2023-11-21 08:56 |
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Accepted by Journal Editor-in-Chief |
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Accepted by Executive Editor-in-Chief |
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2023-12-04 06:11 |
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Articles in Press |
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2023-12-04 06:11 |
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Publication Fee Transferred |
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Edit the Manuscript by Language Editor |
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Typeset the Manuscript |
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2023-12-08 02:00 |
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Publish the Manuscript Online |
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2023-12-26 02:32 |
| ISSN |
1949-8470 (online) |
| Open Access |
This article is an open-access article that was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution NonCommercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: https://creativecommons.org/Licenses/by-nc/4.0/ |
| Copyright |
© The Author(s) 2023. Published by Baishideng Publishing Group Inc. All rights reserved. |
| Article Reprints |
For details, please visit: http://www.wjgnet.com/bpg/gerinfo/247
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| Permissions |
For details, please visit: http://www.wjgnet.com/bpg/gerinfo/207
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| Publisher |
Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA |
| Website |
http://www.wjgnet.com |
| Category |
Radiology, Nuclear Medicine & Medical Imaging |
| Manuscript Type |
Retrospective Study |
| Article Title |
Deep learning-based magnetic resonance imaging reconstruction for improving the image quality of reduced-field-of-view diffusion-weighted imaging of the pancreas
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| Manuscript Source |
Unsolicited Manuscript |
| All Author List |
Yukihisa Takayama, Keisuke Sato, Shinji Tanaka, Ryo Murayama, Nahoko Goto and Kengo Yoshimitsu |
| Funding Agency and Grant Number |
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| Corresponding Author |
Yukihisa Takayama, MD, PhD, Associate Professor, Department of Radiology, Faculty of Medicine, Fukuoka University, 7-45-1 Nanakuma, Jonan-ku, Fukuoka 8140180, Japan. ytakayama@fukuoka-u.ac.jp |
| Key Words |
Deep learning-based reconstruction; Magnetic resonance imaging; Reduced field-of-view; Diffusion-weighted imaging; Pancreas |
| Core Tip |
This study evaluated the efficacy of deep learning-based reconstruction (DLR) for image quality improvement in reduced-field-of-view diffusion-weighted imaging (DWI) of the pancreas. DLR can significantly denoise images without prolonging the scan time or decreasing the spatial resolution. The denoising level of DWI can be controlled to make the images appear more natural to the human eye. However, this study revealed that DLR did not ameliorate pancreatic distortion. Additionally, physicians should pay attention to the interpretation of apparent diffusion coefficients (ADCs) after DLR application because ADCs are significantly changed by DLR. |
| Publish Date |
2023-12-26 02:32 |
| Citation |
Takayama Y, Sato K, Tanaka S, Murayama R, Goto N, Yoshimitsu K. Deep learning-based magnetic resonance imaging reconstruction for improving the image quality of reduced-field-of-view diffusion-weighted imaging of the pancreas. World J Radiol 2023; 15(12): 338-349 |
| URL |
https://www.wjgnet.com/1949-8470/full/v15/i12/338.htm |
| DOI |
https://dx.doi.org/10.4329/wjr.v15.i12.338 |
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