The role of generative adversarial networks in brain MRI: a scoping review
<p dir="ltr">The performance of artificial intelligence (AI) for brain MRI can improve if enough data are made available. Generative adversarial networks (GANs) showed a lot of potential to generate synthetic MRI data that can capture the distribution of real MRI. Besides, GANs are a...
محفوظ في:
| المؤلف الرئيسي: | |
|---|---|
| مؤلفون آخرون: | , , , , , |
| منشور في: |
2022
|
| الموضوعات: | |
| الوسوم: |
إضافة وسم
لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!
|
| _version_ | 1864513518583152640 |
|---|---|
| author | Hazrat Ali (421019) |
| author2 | Md. Rafiul Biswas (17293966) Farida Mohsen (16994682) Uzair Shah (15740699) Asma Alamgir (18288895) Osama Mousa (18288898) Zubair Shah (231886) |
| author2_role | author author author author author author |
| author_facet | Hazrat Ali (421019) Md. Rafiul Biswas (17293966) Farida Mohsen (16994682) Uzair Shah (15740699) Asma Alamgir (18288895) Osama Mousa (18288898) Zubair Shah (231886) |
| author_role | author |
| dc.creator.none.fl_str_mv | Hazrat Ali (421019) Md. Rafiul Biswas (17293966) Farida Mohsen (16994682) Uzair Shah (15740699) Asma Alamgir (18288895) Osama Mousa (18288898) Zubair Shah (231886) |
| dc.date.none.fl_str_mv | 2022-06-04T12:00:00Z |
| dc.identifier.none.fl_str_mv | 10.1186/s13244-022-01237-0 |
| dc.relation.none.fl_str_mv | https://figshare.com/articles/journal_contribution/The_role_of_generative_adversarial_networks_in_brain_MRI_a_scoping_review/25532443 |
| dc.rights.none.fl_str_mv | CC BY 4.0 info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | Engineering Biomedical engineering Information and computing sciences Artificial intelligence Data management and data science Artificial intelligence Data augmentation Generative adversarial networks Magnetic resonance imaging Medical imaging |
| dc.title.none.fl_str_mv | The role of generative adversarial networks in brain MRI: a scoping review |
| dc.type.none.fl_str_mv | Text Journal contribution info:eu-repo/semantics/publishedVersion text contribution to journal |
| description | <p dir="ltr">The performance of artificial intelligence (AI) for brain MRI can improve if enough data are made available. Generative adversarial networks (GANs) showed a lot of potential to generate synthetic MRI data that can capture the distribution of real MRI. Besides, GANs are also popular for segmentation, noise removal, and super-resolution of brain MRI images. This scoping review aims to explore how GANs methods are being used on brain MRI data, as reported in the literature. The review describes the different applications of GANs for brain MRI, presents the most commonly used GANs architectures, and summarizes the publicly available brain MRI datasets for advancing the research and development of GANs-based approaches. This review followed the guidelines of PRISMA-ScR to perform the study search and selection. The search was conducted on five popular scientific databases. The screening and selection of studies were performed by two independent reviewers, followed by validation by a third reviewer. Finally, the data were synthesized using a narrative approach. This review included 139 studies out of 789 search results. The most common use case of GANs was the synthesis of brain MRI images for data augmentation. GANs were also used to segment brain tumors and translate healthy images to diseased images or CT to MRI and vice versa. The included studies showed that GANs could enhance the performance of AI methods used on brain MRI imaging data. However, more efforts are needed to transform the GANs-based methods in clinical applications.</p><p dir="ltr">Correction: The role of generative adversarial networks in brain MRI: a scoping review: Insights into Imaging: <a href="https://dx.doi.org/10.1186/s13244-022-01268-7" target="_blank">https://dx.doi.org/10.1186/s13244-022-01268-7</a>, published online 30 July 2022.</p><h2>Other Information</h2><p dir="ltr">Published in: Insights into Imaging<br>License: <a href="https://creativecommons.org/licenses/by/4.0" target="_blank">https://creativecommons.org/licenses/by/4.0</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1186/s13244-022-01237-0" target="_blank">https://dx.doi.org/10.1186/s13244-022-01237-0</a></p> |
| eu_rights_str_mv | openAccess |
| id | Manara2_e5f0553dbfa0567a77df37bd9a4f5d70 |
| identifier_str_mv | 10.1186/s13244-022-01237-0 |
| network_acronym_str | Manara2 |
| network_name_str | Manara2 |
| oai_identifier_str | oai:figshare.com:article/25532443 |
| publishDate | 2022 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| rights_invalid_str_mv | CC BY 4.0 |
| spelling | The role of generative adversarial networks in brain MRI: a scoping reviewHazrat Ali (421019)Md. Rafiul Biswas (17293966)Farida Mohsen (16994682)Uzair Shah (15740699)Asma Alamgir (18288895)Osama Mousa (18288898)Zubair Shah (231886)EngineeringBiomedical engineeringInformation and computing sciencesArtificial intelligenceData management and data scienceArtificial intelligenceData augmentationGenerative adversarial networksMagnetic resonance imagingMedical imaging<p dir="ltr">The performance of artificial intelligence (AI) for brain MRI can improve if enough data are made available. Generative adversarial networks (GANs) showed a lot of potential to generate synthetic MRI data that can capture the distribution of real MRI. Besides, GANs are also popular for segmentation, noise removal, and super-resolution of brain MRI images. This scoping review aims to explore how GANs methods are being used on brain MRI data, as reported in the literature. The review describes the different applications of GANs for brain MRI, presents the most commonly used GANs architectures, and summarizes the publicly available brain MRI datasets for advancing the research and development of GANs-based approaches. This review followed the guidelines of PRISMA-ScR to perform the study search and selection. The search was conducted on five popular scientific databases. The screening and selection of studies were performed by two independent reviewers, followed by validation by a third reviewer. Finally, the data were synthesized using a narrative approach. This review included 139 studies out of 789 search results. The most common use case of GANs was the synthesis of brain MRI images for data augmentation. GANs were also used to segment brain tumors and translate healthy images to diseased images or CT to MRI and vice versa. The included studies showed that GANs could enhance the performance of AI methods used on brain MRI imaging data. However, more efforts are needed to transform the GANs-based methods in clinical applications.</p><p dir="ltr">Correction: The role of generative adversarial networks in brain MRI: a scoping review: Insights into Imaging: <a href="https://dx.doi.org/10.1186/s13244-022-01268-7" target="_blank">https://dx.doi.org/10.1186/s13244-022-01268-7</a>, published online 30 July 2022.</p><h2>Other Information</h2><p dir="ltr">Published in: Insights into Imaging<br>License: <a href="https://creativecommons.org/licenses/by/4.0" target="_blank">https://creativecommons.org/licenses/by/4.0</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1186/s13244-022-01237-0" target="_blank">https://dx.doi.org/10.1186/s13244-022-01237-0</a></p>2022-06-04T12:00:00ZTextJournal contributioninfo:eu-repo/semantics/publishedVersiontextcontribution to journal10.1186/s13244-022-01237-0https://figshare.com/articles/journal_contribution/The_role_of_generative_adversarial_networks_in_brain_MRI_a_scoping_review/25532443CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/255324432022-06-04T12:00:00Z |
| spellingShingle | The role of generative adversarial networks in brain MRI: a scoping review Hazrat Ali (421019) Engineering Biomedical engineering Information and computing sciences Artificial intelligence Data management and data science Artificial intelligence Data augmentation Generative adversarial networks Magnetic resonance imaging Medical imaging |
| status_str | publishedVersion |
| title | The role of generative adversarial networks in brain MRI: a scoping review |
| title_full | The role of generative adversarial networks in brain MRI: a scoping review |
| title_fullStr | The role of generative adversarial networks in brain MRI: a scoping review |
| title_full_unstemmed | The role of generative adversarial networks in brain MRI: a scoping review |
| title_short | The role of generative adversarial networks in brain MRI: a scoping review |
| title_sort | The role of generative adversarial networks in brain MRI: a scoping review |
| topic | Engineering Biomedical engineering Information and computing sciences Artificial intelligence Data management and data science Artificial intelligence Data augmentation Generative adversarial networks Magnetic resonance imaging Medical imaging |