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arXiv · 2502.19220

Low Latency and Generalizable Dynamic MRI via L+S Alternating GD and Minimization

Silpa Babu·Sajan Goud Lingala·Namrata Vaswani
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Abstract

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.

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Silpa Babu, Sajan Goud Lingala, Namrata Vaswani. 2025-02-26. Low Latency and Generalizable Dynamic MRI via L+S Alternating GD and Minimization. https://arxiv.org/abs/2502.19220

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