Low Latency and Generalizable Dynamic MRI via L+S Alternating GD and Minimization
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| Format: | Preprint |
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2025
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| _version_ | 1866909717461204992 |
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| author | Babu, Silpa Lingala, Sajan Goud Vaswani, Namrata |
| author_facet | Babu, Silpa Lingala, Sajan Goud Vaswani, Namrata |
| contents | In this work, we develop novel MRI reconstruction approaches that are accurate, fast and low-latency for a large number of dynamic MRI applications, sampling schemes and sampling rates; without any problem-specific parameter tuning. We refer to this property of a single algorithm, without parameter tuning, being accurate and fast for many settings as generalizability. Generalizability is possible only for simple (few parameter) models such as low-rank (LR) or LR plus sparse (L plus S), and for simple few parameter algorithms based on these models, which is what we develop and evaluate in this work. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2502_19220 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Low Latency and Generalizable Dynamic MRI via L+S Alternating GD and Minimization Babu, Silpa Lingala, Sajan Goud Vaswani, Namrata Image and Video Processing In this work, we develop novel MRI reconstruction approaches that are accurate, fast and low-latency for a large number of dynamic MRI applications, sampling schemes and sampling rates; without any problem-specific parameter tuning. We refer to this property of a single algorithm, without parameter tuning, being accurate and fast for many settings as generalizability. Generalizability is possible only for simple (few parameter) models such as low-rank (LR) or LR plus sparse (L plus S), and for simple few parameter algorithms based on these models, which is what we develop and evaluate in this work. |
| title | Low Latency and Generalizable Dynamic MRI via L+S Alternating GD and Minimization |
| topic | Image and Video Processing |
| url | https://arxiv.org/abs/2502.19220 |