Deep Learning-Based Image Reconstruction for Different Medical Imaging Modalities Article Swipe
Muhammad Yaqub
,
Jinchao Feng
,
Kaleem Arshid
,
Shahzad Ahmed
,
Wenqian Zhang
,
Muhammad Zubair Nawaz
,
Tariq Mahmood
·
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.1155/2022/8750648
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.1155/2022/8750648
Image reconstruction in magnetic resonance imaging (MRI) and computed tomography (CT) is a mathematical process that generates images at many different angles around the patient. Image reconstruction has a fundamental impact on image quality. In recent years, the literature has focused on deep learning and its applications in medical imaging, particularly image reconstruction. Due to the performance of deep learning models in a wide variety of vision applications, a considerable amount of work has recently been carried out using image reconstruction in medical images. MRI and CT appear as the ultimate scientifically appropriate imaging mode for identifying and diagnosing different diseases in this ascension age of technology. This study demonstrates a number of deep learning image reconstruction approaches and a comprehensive review of the most widely used different databases. We also give the challenges and promising future directions for medical image reconstruction.
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Metadata
- Type
- review
- Language
- en
- Landing Page
- https://doi.org/10.1155/2022/8750648
- https://downloads.hindawi.com/journals/cmmm/2022/8750648.pdf
- OA Status
- hybrid
- Cited By
- 59
- References
- 78
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4283026869
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Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4283026869Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1155/2022/8750648Digital Object Identifier
- Title
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Deep Learning-Based Image Reconstruction for Different Medical Imaging ModalitiesWork title
- Type
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reviewOpenAlex work type
- Language
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enPrimary language
- Publication year
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2022Year of publication
- Publication date
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2022-06-16Full publication date if available
- Authors
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Muhammad Yaqub, Jinchao Feng, Kaleem Arshid, Shahzad Ahmed, Wenqian Zhang, Muhammad Zubair Nawaz, Tariq MahmoodList of authors in order
- Landing page
-
https://doi.org/10.1155/2022/8750648Publisher landing page
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https://downloads.hindawi.com/journals/cmmm/2022/8750648.pdfDirect link to full text PDF
- Open access
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YesWhether a free full text is available
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hybridOpen access status per OpenAlex
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https://downloads.hindawi.com/journals/cmmm/2022/8750648.pdfDirect OA link when available
- Concepts
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Deep learning, Artificial intelligence, Computer science, Iterative reconstruction, Medical imaging, Computer vision, Magnetic resonance imaging, Image quality, Modalities, Process (computing), Image (mathematics), Medical physics, Medicine, Radiology, Sociology, Operating system, Social scienceTop concepts (fields/topics) attached by OpenAlex
- Cited by
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59Total citation count in OpenAlex
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2025: 19, 2024: 21, 2023: 17, 2022: 2Per-year citation counts (last 5 years)
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78Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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