A Brief Overview of Optimization-Based Algorithms for MRI Reconstruction Using Deep Learning
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arXiv
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| Format: | Preprint |
| Published: |
2024
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| _version_ | 1866929374357356544 |
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| author | Bian, Wanyu |
| author_facet | Bian, Wanyu |
| contents | Magnetic resonance imaging (MRI) is renowned for its exceptional soft tissue contrast and high spatial resolution, making it a pivotal tool in medical imaging. The integration of deep learning algorithms offers significant potential for optimizing MRI reconstruction processes. Despite the growing body of research in this area, a comprehensive survey of optimization-based deep learning models tailored for MRI reconstruction has yet to be conducted. This review addresses this gap by presenting a thorough examination of the latest optimization-based algorithms in deep learning specifically designed for MRI reconstruction. The goal of this paper is to provide researchers with a detailed understanding of these advancements, facilitating further innovation and application within the MRI community. |
| format | Preprint |
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arxiv_https___arxiv_org_abs_2406_02626 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | A Brief Overview of Optimization-Based Algorithms for MRI Reconstruction Using Deep Learning Bian, Wanyu Image and Video Processing Computer Vision and Pattern Recognition Optimization and Control Magnetic resonance imaging (MRI) is renowned for its exceptional soft tissue contrast and high spatial resolution, making it a pivotal tool in medical imaging. The integration of deep learning algorithms offers significant potential for optimizing MRI reconstruction processes. Despite the growing body of research in this area, a comprehensive survey of optimization-based deep learning models tailored for MRI reconstruction has yet to be conducted. This review addresses this gap by presenting a thorough examination of the latest optimization-based algorithms in deep learning specifically designed for MRI reconstruction. The goal of this paper is to provide researchers with a detailed understanding of these advancements, facilitating further innovation and application within the MRI community. |
| title | A Brief Overview of Optimization-Based Algorithms for MRI Reconstruction Using Deep Learning |
| topic | Image and Video Processing Computer Vision and Pattern Recognition Optimization and Control |
| url | https://arxiv.org/abs/2406.02626 |