2021
DOI: 10.1016/j.ejmp.2021.07.027
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Deep learning methods to generate synthetic CT from MRI in radiotherapy: A literature review

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Cited by 113 publications
(89 citation statements)
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References 115 publications
(244 reference statements)
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“…An exciting topic in external beam therapy is the generation of synthetic CTs from MRI. The main objective of the generation of such CTs is to segment tumours and organs at risk in the MRI and obtain the electron densities necessary for dose calculation [ 57 ]. These synthetic CT scans could be helpful in the case of cervical brachytherapy and are nowadays an unexplored line of research.…”
Section: Discussionmentioning
confidence: 99%
“…An exciting topic in external beam therapy is the generation of synthetic CTs from MRI. The main objective of the generation of such CTs is to segment tumours and organs at risk in the MRI and obtain the electron densities necessary for dose calculation [ 57 ]. These synthetic CT scans could be helpful in the case of cervical brachytherapy and are nowadays an unexplored line of research.…”
Section: Discussionmentioning
confidence: 99%
“…To bridge this gap, synthetic CT (sCT) images, generated based on MRI information, are introduced to provide the necessary HU. Many successful sCT generation methods for brain have been presented in the literature, starting from methods which simply assumed a homogeneous attenuation value inside the head (6) to state-of-the-art deep learning-based methods in recent publications (7)(8)(9)(10)(11)(12). MRI-only RT has been presented for treatment of prostate cancer using both in-house developed methods (13) as well as commercial solutions (14)(15)(16).…”
Section: Introductionmentioning
confidence: 99%
“…In the last decade, the development of synthetic CT (sCT), i.e., deriving CT-like images from MRI scans, has enabled an MRI-based visualization of osseous tissues for radiotherapy [14] and orthopedic care [15][16][17][18]. In the MRI-HIFU context, such sCT images could be generated from MR images acquired during the treatment session to depict the bone distribution in the treatment position.…”
Section: Introductionmentioning
confidence: 99%