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A systematic review of deep learning techniques for generating synthetic CT images from MRI data Cover

A systematic review of deep learning techniques for generating synthetic CT images from MRI data

Polish Journal of Medical Physics and Engineering
Volume 31 (2025): Issue 1 (March 2025)
By: Isaac Kwesi Acquah,  Shiraz Issahaku and  Samuel Nii Adu Tagoe  
Open Access
|Apr 2025
DOI: https://doi.org/10.2478/pjmpe-2025-0003 | Journal eISSN: 1898-0309 | Journal ISSN: 1425-4689
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Language: English
Page range: 20 - 38
Submitted on: Sep 17, 2024
Accepted on: Jan 10, 2025
Published on: Apr 2, 2025
Published by: Polish Society of Medical Physics
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
deep learning algorithms,
synthetic CT,
magnetic resonance imaging,
radiotherapy planning,
image quality,
non-invasive imaging
Related subjects:
Medicine,
Biomedical engineering,
Physics,
Technical and applied physics,
Medical physics

© 2025 Isaac Kwesi Acquah, Shiraz Issahaku, Samuel Nii Adu Tagoe, published by Polish Society of Medical Physics
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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