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Dynamic path smooth unfolding network and learnable random smoothing strategy for magnetic resonance imaging compressed sensing | Synapse
March 3, 2026
Dynamic path smooth unfolding network and learnable random smoothing strategy for magnetic resonance imaging compressed sensing
ZY
Ziqi Yang
MJ
Mingfeng Jiang
Zhejiang Sci-Tech University
CG
Chenghu Geng
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Key Points
Dynamic path smooth unfolding network improves MRI image reconstruction quality significantly, showing faster processing rates.
Key metrics reveal the method enhances image fidelity with reduced noise and artifacts during scans.
Observational analysis utilizes advanced compressed sensing techniques for optimizing MRI imaging processes.
Implications may include broader applications in clinical settings, yet models require further validation in diverse populations.
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Yang et al. (Wed,) studied this question.
synapsesocial.com/papers/69a75c01c6e9836116a24544
https://doi.org/https://doi.org/10.1016/j.engappai.2026.113963
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